WO2015083237A1

WO2015083237A1 - Data analysis assistance system and data analysis assistance method

Info

Publication number: WO2015083237A1
Application number: PCT/JP2013/082480
Authority: WO
Inventors: 牧　秀行; 平井　千秋; 陽江川; 繁幸谷; 難波　康晴
Original assignee: 株式会社日立製作所
Priority date: 2013-12-03
Filing date: 2013-12-03
Publication date: 2015-06-11

Abstract

[Problem] To provide a technique for assisting in analysis work by efficiently generating instruction manuals that highly precisely correspond to each type of analysis work. [Solution] Provided is a data analysis assistance system (10), configured to comprise: a storage device (101) which retains data of a general instruction manual which delineates a standard work sequence per type of analysis work, and data of instruction manual components from which a general instruction manual can be configured under prescribed conditions; and a processing device (104) which outputs the data of the general instruction manual, accepts a designation by a user for portions of the analysis instructions in the general instruction manual that have selectable processing content, accepts a result of an execution of the analysis instructions corresponding to the designation, inserts the data of the instruction manual components which have execution results satisfying the prescribed conditions into the section of the general instruction manual where the analysis instructions are described or in the surroundings of that section, and outputs specific instruction manual data which is formed by inserting the instruction manual components into the required sections in the general instruction manual by each of the foregoing processes being executed a required number of iterations relating to the general instruction manual.

Description

Data analysis support system and data analysis support method

The present invention relates to a data analysis support system and a data analysis support method.

The technology that collects and analyzes a vast amount of data according to the purpose and obtains a predetermined result, such as the recent utilization of so-called big data, is being developed. On the other hand, for those in charge of various tasks that are becoming increasingly complex and sophisticated with the progress of these analytical technologies, the procedure manuals that describe the execution procedures of the corresponding tasks and the work contents of each procedure are very useful. It has become. In particular, the person in charge who is not proficient in the work can expect the effect of shortening the work time and preventing work mistakes by performing work while referring to the procedure manual.

The following technologies have been proposed as conventional technologies related to these procedure manuals. That is, a design work support device (see Patent Document 1) and the like for the purpose of reducing the burden of design knowledge retrieval work of a design worker and realizing efficient design work utilizing knowledge has been proposed. .

JP 2004-303181 A

However, in data analysis work, there are almost no cases where the analysis target and purpose of analysis vary greatly from case to case, and it involves atypical work, and the person in charge performs the work as it is written in the standard procedure manual. It is difficult. On the other hand, even if you try to customize the standard procedure manual in advance according to the contents of the project, in the analysis work, it will be detected for the first time by trying the actual procedure, and there are many items that vary depending on the detection result, and it is practical It is difficult to obtain a procedure manual with sufficient accuracy to withstand.

Therefore, an object of the present invention is to provide a technique for efficiently generating a procedure manual corresponding to each analysis work with high accuracy and supporting the analysis work.

The data analysis support system of the present invention that solves the above-described problems includes data of a general procedure manual that describes a standard work procedure for each analysis task, and data of procedure manual components that can be configured under a predetermined condition. A storage device that holds the general procedure manual according to the user's designation, and outputs the data to the output device or a predetermined terminal from the storage device so that the processing contents can be selected from the analysis procedures indicated by the general procedure manual The input acquisition process for receiving the user's specification from the input device or the predetermined terminal, and the execution result of the corresponding analysis procedure according to the specification of the processing content by the user is received from the input device or the predetermined terminal, and the received execution A procedure manual component whose result satisfies the predetermined condition is specified in a storage device, and the data of the specified procedure manual component is identified in the general procedure manual. The procedure manual part is added to the necessary part in the general procedure manual by the edit process to be inserted around the described part of the procedure or the specified acquisition process and the edit process executed as many times as necessary for the general procedure manual. And an arithmetic unit that executes an output process for outputting the data of the individual procedure manual to an output device or a predetermined terminal.

In addition, the data analysis support method of the present invention holds data of a general procedure manual that describes a standard work procedure for each analysis task and data of procedure manual parts that can be configured under a predetermined condition. An information processing device equipped with a storage device reads data from the general procedure manual according to the user's specification from the storage device and outputs it to the output device or a predetermined terminal, and selects the processing contents from the analysis procedure indicated by the corresponding general procedure manual About what is possible, from the input device or the predetermined terminal, a specification acquisition process for receiving the user's specification, and the execution result of the corresponding analysis procedure according to the specification of the processing content by the user is received from the input device or the predetermined terminal, The procedure manual component that the received execution result satisfies the predetermined condition is specified in the storage device, and the data of the specified procedure manual component is stored in the previous general procedure manual. The procedure manual is written at a required location in the general procedure manual by the edit process inserted in the analysis procedure description part or around the description part, and the specified acquisition process and the edit process executed as many times as necessary for the general procedure manual. And an output process for outputting individual procedure manual data formed by inserting parts to an output device or a predetermined terminal.

According to the present invention, it is possible to efficiently generate a procedure manual corresponding to each analysis work with high accuracy and provide a technology for supporting the analysis work.

It is a figure showing an example of composition of a data analysis support system in this embodiment. It is a figure which shows the structural example of the knowledge management apparatus in this embodiment. It is a figure which shows the structural example of the analysis execution apparatus in this embodiment. It is a figure which shows the structural example of the operating device in this embodiment. It is a figure which shows the conceptual example of the data analysis assistance method in this embodiment. It is a schematic diagram which shows the function of each apparatus in this embodiment, and the flow of data. It is a figure which shows the processing flow example 1 of the data analysis assistance method in this embodiment. It is a figure which shows the structural example 1 of the general procedure manual in this embodiment. It is a figure which shows the structural example of the data file information in this embodiment. It is a figure which shows the structural example of the data item information in this embodiment. It is a figure which shows the structural example 1 of the item separate analysis procedure manual in this embodiment. It is a figure which shows the structural example 2 of the general procedure manual in this embodiment. It is a figure which shows the processing flow example 2 of the data analysis assistance method of this embodiment. It is a figure which shows the tree structure corresponding to the example 1 of the combination of the analysis method in this embodiment, a tool, and a parameter. It is a figure which shows the structural example 1 of the analysis trial management table in this embodiment. It is a figure which shows the tree structure corresponding to the example 2 of the combination of the analysis method in this embodiment, a tool, and a parameter. It is a figure which shows the structural example 2 of the analysis trial management table in this embodiment. It is a figure which shows the tree structure corresponding to the example 3 of the combination of the analysis method in this embodiment, a tool, and a parameter. It is a figure which shows the structural example 3 of the analysis trial management table in this embodiment. It is a figure which shows the example of the analysis result in this embodiment. It is a figure which shows the structural example 2 of the case separate analysis procedure manual in this embodiment. It is a figure which shows the process flow example 3 of the data analysis assistance method of this embodiment. It is a figure which shows the structural example 3 of the case separate analysis procedure manual in this embodiment. It is a figure which shows the structural example 4 of the case separate analysis procedure manual in this embodiment. It is a figure which shows the structural example of the components management information in this embodiment. It is a schematic diagram which shows the relationship of the cross reference of the information referred and produced | generated by the analysis operation | work in this embodiment. It is a figure which shows the structural example of the ID management table in this embodiment. It is a figure which shows the image of the cross reference of the information in this embodiment.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a diagram illustrating a configuration example of a data analysis support system 10 according to the present embodiment. A data analysis support system 10 shown in FIG. 1 is a computer system for efficiently generating a procedure manual corresponding to each analysis work with high accuracy and supporting the analysis work.

A data analysis support system 10 illustrated in FIG. 1 includes a knowledge management apparatus 100 that manages knowledge including various procedure manuals related to analysis work, and an analysis execution that can actually execute the analysis processing indicated by the various procedure manuals and output the analysis results. It includes an apparatus 200, an operation apparatus 300 operated by a user who is in charge of analysis work, and an external apparatus 400 that provides an external data source 425 that is data to be analyzed. Although not specifically illustrated, the external data source 425 held by the external device 400 is assumed to be, for example, accumulated information on whether or not there is a reply from a prospective customer to a direct mail, a reply content, and prospective customer attribute information in a predetermined mail order business operator. it can.

Note that, as a minimum configuration of the data analysis support system 10 in the present embodiment, a case where the system is configured by only the knowledge management device 100 is assumed. In addition, in addition to the above-described knowledge management device 100, the data analysis support system 10 may be configured by the analysis execution device 200 and the operation device 300. Alternatively, the data analysis support system 10 may be configured from the knowledge management device 100, the analysis execution device 200, the operation device 300, and the external device 400. Of course, all the functions and configurations of the apparatuses may be mounted on one information processing apparatus.

Further, the hardware configuration of each information processing apparatus constituting the data analysis support system 10 is as follows. FIG. 2 is a diagram illustrating a configuration example of the knowledge management apparatus 100 in the data analysis support system 10 of the present embodiment. The knowledge management device 100 reads out to the memory 103 a storage device 101 composed of a suitable non-volatile storage device such as a hard disk drive, a memory 103 composed of a volatile storage device such as a RAM, and a program 102 held in the storage device 101. And the like, and a control device 104 such as a CPU for performing various determinations, calculations and control processes, and a communication device 107 connected to the network 20 and responsible for communication processing with other devices. The storage device 101 stores data necessary for various types of processing in addition to the program 102 for implementing functions necessary for the information processing apparatus constituting the data analysis support system 10 of the present embodiment. . These data include various data of the knowledge base 125.

The information contained in the above knowledge base 125 includes general procedure manual 126, case individual information 127, static case information 128, dynamic case information 129, case individual analysis procedure manual 130 (individual procedure manual), procedure manual part 140, parts. Management information 141, data file information 150, data item information 151, analysis trial management table 160, and ID management table 170.

Of these, the general procedure manual 126 is data of a procedure document describing a standard work procedure for each analysis task. Therefore, in the knowledge base 125, data of the corresponding general procedure manual 126 is stored for each type of analysis work. Further, the procedure manual component 140 is data of components that can configure the general procedure manual 126 under a predetermined condition. In this embodiment, the general procedure manual 126 is used according to the conditions defined in the component management information 141 (FIG. 25) described later. The points to be applied to are defined.

Further, the case individual analysis procedure manual 130 (individual procedure manual) is data formed by appropriately inserting the procedure manual component 140 at a necessary position in the general procedure manual 126. As an example of the general procedure manual 126, a format as illustrated in FIG. 8 is shown, in which titles of work procedures listed for each chapter and their work contents (including analysis procedures) are described. Appropriate editing, that is, specialization for each analysis work item, is performed by applying the procedure manual component 140 to the general procedure manual 126, and the case individual analysis procedure manual 130 is formed. A specific example of the case individual analysis procedure manual 130 is shown in FIG.

Further, the case individual information 127 is individual information for each analysis work item to be set as a character string or a numerical value at a predetermined position in the general procedure manual 126, and is information designated by the user. The static case information 128 included in the case individual information 127 is information that does not change during the execution of the analysis procedure based on the general procedure manual 126 or the individual project analysis procedure manual 130. For example, the identifier of each analysis target data (for example, It corresponds to the ID of the person who originated the data) and the file name. The dynamic item information 129 included in the item individual information 127 is information that changes during the execution of the analysis procedure based on the general procedure manual 126 or the individual project analysis procedure manual 130, and corresponds to, for example, the execution result of the analysis procedure. .

The data file information 150, the data item information 151, the analysis trial management table 160, and the ID management table 170 will be described later.

As shown in FIG. 3, the analysis execution apparatus 200 described above has a general hardware configuration as a computer, and is configured by an appropriate non-volatile storage device such as a hard disk drive, like the knowledge management apparatus 100. A storage device 201, a memory 203 composed of a volatile storage device such as a RAM, and a program 202 held in the storage device 201 is read into the memory 203 and executed to perform overall control of the device itself, and various determinations, calculations, and An arithmetic device 204 such as a CPU that performs control processing, and a communication device 207 that is connected to the network 20 and performs communication processing with other devices. In the storage device 201, a program 202 for implementing functions necessary for cooperating with the above-described knowledge management device 100 and the operation device 300, and data necessary for various processes are stored. The data includes various data of an analysis execution management DB 225, a data store 227, and an execution history DB 228 described later.

Among these, the analysis component management DB 225 is a database that manages a computer program that executes data analysis processing. Each program stored in the analysis component management DB 225 is referred to as an analysis component 226. The data store 227 is a database that stores data to be analyzed, analysis result data, and the like. The execution history DB 228 is a database that stores a history of executed data analysis processing.

Further, as shown in FIG. 4, the operation device 300 also has the same hardware configuration as the knowledge management device 100 and the analysis execution device 200 described above, and a storage constituted by a suitable non-volatile storage device such as a hard disk drive. The device 301, a memory 303 composed of a volatile storage device such as a RAM, and a program 302 held in the storage device 301 are read out and executed in the memory 303 to perform overall control of the device itself, and various determinations, computations and control processes An arithmetic device 304 such as a CPU, an input device 305 such as a keyboard and mouse that accepts input from a user, an output device 306 such as a display and a speaker that outputs processing results, and a network 20 for communication processing with other devices. A communication device 307 is provided. In the storage device 301, a program 302 for implementing functions necessary for cooperating with the above-described knowledge management device 100 and analysis execution device 200 is stored. The arithmetic device 304 in the operation device 300 reads out predetermined screen data from the storage device 301 and displays it on the output device 306. An analysis environment 315 that serves as an input / output interface when the above-described user performs analysis work is provided. provide. The screen of the analysis environment 315 includes areas of the analysis execution console 311 and the knowledge console 312 (both will be described later based on FIG. 6).

Subsequently, functions provided in the knowledge management apparatus 100 constituting the data analysis support system 10 of the present embodiment will be described. The functions described below can be said to be functions that are implemented by executing the program 102 included in the knowledge management apparatus 100 that constitutes the data analysis support system 10. Alternatively, when the data analysis support system 10 further includes at least one of the analysis execution device 200 and the operation device 300, by executing a program included in at least one of the information processing devices together with the function of the knowledge management device 100 It can be said that the functions to be implemented are also included. Here, description will be made on the assumption that the knowledge management apparatus 100 leads the processing as the data analysis support system 10.

The knowledge management device 100 reads the data of the general procedure manual 126 according to the user's designation from the storage device 101 and outputs the data to the operation device 300 via the communication device 107. Among the analysis procedures indicated by the general procedure manual 126 About what can select a processing content, it has the designation | designated acquisition function which receives a user's designation | designated from the above-mentioned operating device 300. FIG.

In addition, the knowledge management apparatus 100 analyzes the execution result of the corresponding analysis procedure according to the specification of the processing content by the user from the operation device 300 via the communication device 107 or the specification of the user. Directly received from the analysis execution apparatus 200 that executed the procedure, the received execution result specifies the procedure manual component 140 that satisfies the predetermined condition indicated by the component management information 141 in the storage device 101, and the specified procedure manual component 140 It has an editing function for inserting data in the general procedure manual 126 where the corresponding analysis procedure is described or around the described location.

In addition, the knowledge management apparatus 100 is formed by inserting the procedure manual component 140 at a necessary position in the general procedure manual 126 by each processing by the above-described designation acquisition function and editing function executed as many times as necessary for the general procedure manual 126. The output function of outputting the data of the individual case analysis procedure manual 130 (individual procedure manual) to the operation device 300 via the communication device 107 is provided.

Further, the knowledge management device 100 uses the storage device 101 to identify the procedure manual component 140 in which the execution result received from the operation device 300 or the analysis execution device 200 satisfies the predetermined condition in the component management information 141 in the editing function described above. The function of replacing the data of the specified procedure manual part 140 with the analysis procedure in the general procedure manual 126 is further provided.

In addition, the knowledge management apparatus 100 executes the necessary number of times in the general procedure manual 126 in the output function described above, and the procedure manual component 140 for the necessary part in the general procedure manual 126 by the processing by the above-described designation acquisition function and editing function. And a function of outputting the data of the case individual analysis procedure manual 130 formed by performing at least one of replacement or insertion of the procedure manual component 140 to the operation device 300 via the communication device 107.

In addition, the knowledge management device 100 can identify the procedure manual component 140 in the storage device 101 whose execution result received from the operation device 300 or the analysis execution device 200 satisfies the predetermined condition in the component management information 141 in the editing function described above. If there is not, or if the execution result received from the operation device 300 or the analysis execution device 200 satisfies a predetermined deletion condition held in the storage device 101 or the like, it further has a function of deleting the corresponding analysis procedure in the general procedure manual 126. .

In addition, the knowledge management apparatus 100 deletes or deletes a necessary part in the general procedure manual 126 by the processing by the above-described designation acquisition function and editing function that is executed as many times as necessary with respect to the general procedure manual 126 in the output function described above. It further has a function of outputting the data of the case individual analysis procedure manual 130 formed by performing at least one of the insertion of the parts 140 to the operation device 300 via the communication device 107.

Further, the knowledge management device 100 uses the storage device 101 to identify the procedure manual component 140 in which the execution result received from the operation device 300 or the analysis execution device 200 satisfies the predetermined condition in the component management information 141 in the editing function described above. The function of replacing the data of the specified procedure manual component 140 with the corresponding analysis procedure in the general procedure manual 126 and the execution result received from the operation device 300 or the analysis execution device 200 satisfy the predetermined condition in the component management information 141. When the procedure manual component 140 cannot be specified in the storage device 101, or when the execution result received from the operation device 300 or the analysis execution device 200 satisfies a predetermined deletion condition held in the storage device 101 or the like, the general procedure manual And at least one of the function of deleting the corresponding analysis procedure in 126 That.

In addition, the knowledge management apparatus 100 deletes a necessary part in the general procedure manual 126 and performs the procedure manual by the above-described processing by the designation acquisition function and the edit function that is executed as many times as necessary for the general procedure manual 126 in the output function. It further has a function of outputting data of the individual analysis procedure manual 130 formed by performing at least one of replacement with the component 140 and insertion of the procedure manual component 140 to the operation device 300 via the communication device 107.

Note that the knowledge management apparatus 100 selects, as the selection items related to the processing contents of the predetermined analysis procedure included in the general procedure manual 126, from the analysis target data, analysis technique, and analysis parameters in the corresponding analysis procedure in the storage device 101. It further holds information about at least one possible item or a combination of two or more. At this time, the knowledge management device 100 reads out information of selection items held in the storage device 101 for the analysis procedure indicated by the general procedure manual 126 and can select the processing contents in the above-described designation acquisition function, and performs communication. A function of outputting to the operating device 300 via the device 107 and receiving a user's designation regarding the selection item being output from the operating device 300 is further provided.

In addition, the knowledge management device 100 accepts the execution result of the corresponding analysis procedure according to the designation of the selection item related to the processing content by the user from the corresponding operation device 300 or the analysis execution device 200 in the editing function described above. The received execution result specifies the procedure manual component 140 that satisfies the predetermined condition in the component management information 141 in the storage device 101, and the data of the specified procedure manual component 140 is described in the general procedure manual 126. It further has a function of being inserted around the described portion.

In addition, the knowledge management device 100 receives input of a user comment or a result value of the predetermined analysis procedure from the operation device 300 via the communication device 107 regarding a predetermined portion of the general procedure manual 126 or the individual project analysis procedure manual 130. And a comment acquisition function for storing the corresponding comment or the corresponding result value and the predetermined location in the storage device 101 in association with each other.

In addition, the knowledge management apparatus 100 assigns the above-described comments or result values to the corresponding portions of the corresponding general procedure manual 126 or the corresponding case individual analysis procedure manual 130, and outputs this to the operation device 300 via the communication device 107. A comment display function is further provided.

The knowledge management apparatus 100 also includes the general procedure manual 126 designated by the user, the designated content of the processing content related to the general procedure manual 126, the execution result of the analysis procedure according to the designated content, and the execution result in the component management information 141. Information of at least two of the procedure manual part 140 satisfying a predetermined condition, a necessary part where the procedure manual part 140 is applied, and a case individual analysis procedure manual 130 formed by applying the procedure manual part 140 to the necessary part Are further provided with an ID assigning function for assigning IDs that can be distinguished from each other to the ID management table 170 of the storage device 101 as an execution history. The execution history may be stored in the execution history DB 228 in the analysis execution apparatus 200.

Further, when the knowledge management device 100 receives a search request for an execution history based on the predetermined information from the operation device 300 via the communication device 107, the knowledge management device 100 determines that the corresponding predetermined information The correspondence information identified by the same ID is extracted, and the extracted correspondence information is associated with predetermined information in the general procedure manual 126 or the case individual analysis procedure manual 130 and output to the operation device 300 via the communication device 107. A correspondence history output function is further provided.

Subsequently, in this embodiment, a process for editing the general procedure manual 126 into the case individual analysis procedure manual 130, that is, the concept of specializing for each case will be described. FIG. 5 shows a conceptual example of the specialization. As the general procedure manual 126 exemplified in the present embodiment, for example, a procedure manual for “analysis work relating to a direct mail reply rate” is assumed. On the other hand, the case-by-case analysis procedure manual 130 is a specialization of the general procedure manual 126 corresponding to the "analysis work for finding an attribute characterizing a user having a high direct mail reply rate in the mail order company A". It becomes. As described above, the “project” specifically identifies the analysis target and purpose corresponding to the actual case as compared with the “type” of the analysis work associated with the general procedure manual 126.

The general procedure manual 126 illustrated in FIG. 5 includes

descriptions

131 and 132 of “the work procedure of step 1” and “the work procedure of step 2”. A user who is provided with the general procedure manual 126 from the knowledge management device 100 and is browsing the operation device 300 first performs the corresponding work with reference to the description 131 of “the work procedure of step 1”. The result 135 of the executed work is input from the operation device 300. The knowledge management device 100 receives the corresponding input from the operation device 300 and stores it in the corresponding part in the corresponding general procedure manual 126, that is, the description 131 of "Step 1 work procedure" and its surroundings. The general procedure manual 126 (also the case individual analysis procedure manual 130) can be said to be a workbook in which not only the user can refer to the operation apparatus 300 but also the work result by the user can be written.

As a specific image of the general procedure manual 126, as shown in FIG. 8, the document format is assumed to be read by a user who is in charge of analysis work, and there are several chapters and sections. Etc. Each of the chapter and the section is a part constituting the corresponding procedure manual, that is, a procedure manual part 140. A general procedure manual 126 is formed by combining the procedure manual parts 140 in accordance with the analysis target and purpose.

As described above, the general procedure manual 126 has a common procedure for each type of analysis work item, and therefore, specific information for each item actually handled by the above-mentioned user is described from the beginning. Of course not. Therefore, the knowledge management apparatus 100 sets and specializes the case individual information 127, which is the above-described work result 135, in the corresponding general procedure manual 126, and the general procedure manual 126 is converted into the individual procedure manual, that is, the individual project analysis. Convert to procedure manual 130.

In such specialization processing, the knowledge management apparatus 100 converts the contents after the description 132 of “Step 2” in the general procedure manual 126 based on the execution result 135 regarding the corresponding work of “Step 1”, and the case individual analysis procedure manual 130 is formed. A case at the time when all of the “specialization” processes for the general procedure manual 126 are completed or a time when all of the “specialization” processes are not completed is also referred to as a case individual analysis procedure manual 130.

The execution result 135 of the corresponding work in the above-mentioned “Step 1” is reflected in the part where the specialization, that is, the description is converted in the general procedure manual 126. For example, in the description 131 of “Step 1”, there is a description “Select a logistic regression model if the output value of the target data is binary, and select a linear regression model if it is a continuous value”. It is assumed that the description 132 states that “the analysis tool that executes the model selected in step 1 is activated”. In addition, regarding a specific case (for example, the above-described analysis work regarding the direct mail reply rate of the mail order company A), when the user examines “target data” in the operation of “step 1”, the output value is binary. Suppose that

Therefore, the user inputs “output data type: binary” from the operation device 300 as the execution result 135 of the corresponding work in “Step 1”. In response to this input, the knowledge management apparatus 100 writes the execution result 135 in or around the corresponding part in the description 131 of “Step 1” of the general procedure manual 126. Subsequently, the knowledge management apparatus 100 receives the input of the execution result 135 as a “specialization” process, and the part to be converted in accordance with the “output data type: binary” in the description 132 of “step 2” That is, the description part of the mathematical model used for the analysis is converted to “logistic regression model”, and “analysis tool“ logicscast ”for executing logistic regression model is activated” is updated. Such a process in which the contents described in the subsequent procedure are converted based on the event of saving the work result relating to a certain procedure in the procedure manual corresponds to the “specialization” process. Although not shown in the drawing, the above-described processing is repeated in the same manner even when “step 3” and subsequent descriptions exist in the general procedure manual 126.

FIG. 6 shows a flow of information processed between the knowledge management device 100, the analysis execution device 200, and the operation device 300 constituting the data analysis support system 10. Here, the analysis environment 315 provided by the operation device 300 is an interface for the user to use the present system 10, and includes an analysis execution console 311 and a knowledge console 312.

Among these, the analysis execution console 311 can communicate with the analysis execution device 200, receives a user instruction, and receives an analysis component 226 corresponding to the instruction from the analysis component management DB 225 in the analysis execution device 200 (a computer program for executing data analysis processing). ) Is specified and mounted on itself or executed, or the analysis execution apparatus 200 is instructed to execute. The analysis execution console 311 specifies data to be analyzed from the data store 227 and provides it to the corresponding analysis component 226 as a processing target when performing this analysis execution or analysis execution instruction. The data to be analyzed is supplied from the external data source 425 to the data store 227. The analysis execution console 311 stores the result of the analysis thus performed, that is, the data of the analysis result 1200 (described later in FIG. 20) in the data store 227, the execution history DB 228, and the like of the analysis execution device 200.

On the other hand, the knowledge console 312 in the operation device 300 has a function of providing the user with the information described in the general procedure manual 126 and the case individual analysis procedure manual 130, that is, the work procedure and information useful for performing the work, and holds the information. It is possible to communicate with the knowledge base 125 of the knowledge management device 100.

The user reads the work procedure and information useful for performing the work from the general procedure manual 126 and the case individual analysis procedure manual 130 via the knowledge console 312 in the operation device 300. The user who recognizes the data analysis method to be tried from the information thus read performs data analysis by the corresponding technique using the above-described analysis execution console 311 (analysis itself is performed by the analysis execution apparatus 200). Of course).

The user refers to the analysis result 1200 stored in the data store 227 or the analysis result 1200 displayed on the screen via the analysis execution console 311 and grasps the result of the data analysis. Then, the user registers the analysis result 1200 in the knowledge base 125 of the knowledge management apparatus 100 via the knowledge console 312. In addition to the analysis result 1200 itself, the user inputs what he / she has noticed through the data analysis work to the knowledge console 312 as feedback. The knowledge management device 100 stores the feedback input from the knowledge console 312 of the operation device 300 in the knowledge base 125. The knowledge base 125 is a database that holds information input from the user in addition to information to be presented to the user.

Subsequently, the above-described specialization process will be described in more detail. Therefore, the actual procedure of the data analysis support method in this embodiment will be described below with reference to the drawings. Various operations corresponding to the data analysis support method described below are realized by programs that are read and executed by the above-described knowledge management apparatus 100 and the like constituting the data analysis support system 10 in a memory or the like. These programs are composed of codes for performing various operations described below.

FIG. 7 is a diagram showing a processing flow example 1 of the data analysis support method in the present embodiment. Here, first, the main flow of the data analysis support method will be described. As already described, each process in the data analysis support method is mainly executed by the knowledge management device 100, but a part of the processing may be executed by the operation device 300 or the analysis execution device 200. In addition, the flow is a product obtained by executing the contents indicated by the general procedure manual 126 and the case individual analysis procedure manual 130 (the knowledge obtained by the analysis operation performed by the user himself / herself, and the analysis execution apparatus 200). The execution result of the analysis process is started when the corresponding user performs a registration process on the knowledge management apparatus 100 from the operation apparatus 300.

It should be noted that direct mail reply rate analysis work is assumed as an individual analysis work used to explain the flow concerned. The outline of the analysis procedure in this case is as follows.

1. Understand the direct mail business of mail order company A, and set analysis goals.

2. Check basic information such as data items and size.

3. The user attribute data and the reply record data are combined and used as target data.

4.1 Determine the objective variable and explanatory variable in the target data.

4.2 Find an analysis model that identifies users with high response rates.

5. Develop measures to increase the direct mail reply rate using the analysis model.

Hereinafter, the procedure for specializing the general procedure manual 126 and forming the individual project analysis procedure document 130 will be described using this procedure as an example.

Here, if the knowledge management apparatus 100 receives a registration request for a product obtained by the user regarding the above-described analysis work from the operation device 300 (s100: YES), the product obtained from the operation device 300 The file is stored in the storage device 101, and the general procedure manual 126 or the current time is read from the knowledge base 125 of the storage device 101 using the identification information of the general procedure manual 126 and the case individual analysis procedure manual 130 indicated by the registration request as a key. Is read out and placed in the memory 103 (s101). In many cases, since the specialization process is executed a plurality of times in one case, the knowledge management apparatus 100 obtains the result of the specialization process executed at the time of the previous product registration, that is, the case individual analysis procedure manual 130 in the step s101. Will be read. However, if the specialization process being executed in the current flow is the first specialization process in the general procedure manual 126, the knowledge management apparatus 100 naturally reads the general procedure manual 126 in step s101. .

Subsequently, the knowledge management device 100 reads the product file registered in the storage device 101 in step 101 described above from the storage device 101 (s102). The knowledge management apparatus 100 that has read the product file determines the type of the product file (s103). There are two types of product files in this embodiment. One is data file information 150 indicating the correspondence between the data type and the file name as shown in FIG. 9, and data item information 151 indicating the correspondence between the item type and the item name as shown in FIG. is there. The information on such correspondence is the information that the user has searched and specified from the data to be analyzed. The data file information 150 and the data item information 151 are referred to as “correspondence table information” and correspond to the static case information 128 in the case individual information 127.

Also, another type of deliverable file describes an analysis result 1200 as shown in FIG. The information indicated by the analysis result 1200 is executed by the user who recognizes the contents of the general procedure manual 126 and the case individual analysis procedure manual 130 displayed by the knowledge management device 100 by instructing the analysis execution device 200 from the operation device 300. This is information corresponding to the result of the analysis and is referred to as “analysis result information” and corresponds to the dynamic item information 129 of the item individual information 127.

If it is determined as a result of the determination in step s103 that the type of the deliverable file described above is correspondence table information (s103: YES), the knowledge management apparatus 100 executes “insertion type” processing among the specialization processing. Then, the corresponding pair is read out from the product file read out in step s102 described above, that is, in this case, from the correspondence table information (s104). The correspondence pair is a set of the data type in the general procedure manual 126 in the data file information 150 and the file name storing the correspondence data in the analysis target data, and the general procedure manual in the data item information 151. This means a combination of the item type at 126 and the item name as the corresponding item in the analysis target data. In the data item information 151 in FIG. 10, for example, a pair of an item type “<member ID>” and an item name “customer number” is a corresponding pair.

Here, a specific example of the general procedure manual 126 that is a target of the above-described “insertion type” specialization process will be described with reference to FIG. The general procedure manual 126 illustrated in FIG. 8 includes chapters “2. Data understanding”, “3. Data preparation”, and “4. Analysis”, that is, a plurality of procedure manual parts 140 constituting the analysis procedure. . Among these configurations, a phrase between <> and a character string “???” have a special meaning for specialization processing. A horizontal dotted line is a section of the procedure manual component 140.

Prior to step s100 in this flow, a user who has viewed this general procedure manual 126 on the knowledge console 312 should generally perform “member ID” as an action to be performed in the analysis procedure of “data understanding” in Chapter 2. It is recognized that it is necessary to grasp the data items for identifying the target person and the attribute data and data size related to the analysis target, which are generally defined as direct mail reply record data. Therefore, the user examines the analysis work item, that is, the reply data content of the direct mail, and creates the data file information 150 and the data item information 151 which are product files. The format of the data file information 150 and the data item information 151 is “file name”, “number of items”, “number of records”, “item name”, “ A provision in which each column such as “type” is blank is prepared in the knowledge base 125, and is provided by the knowledge management device 100 according to an input operation on the operation device 300.

The user performs necessary operations on the operation device 300 to complete the data file information 150 and the data item information 151 described above, and the file storing these data is stored in the procedure of “2. Understanding data” in the corresponding general procedure manual 126. Is registered in the knowledge base 125 of the knowledge management apparatus 100 as a product.

The user at this time, for example, clicks the deliverable mark 145 described in the right area of “2. Understanding data” in the general procedure manual 126 to open a dialog for registering the deliverable file. At this time, the operation device 300 notifies the knowledge management device 100 of the click operation of the deliverable mark 145 and displays the dialog returned from the knowledge management device 100 on the general procedure manual 126. In addition, the user designates the deliverable file created so far in the above-described dialog, and gives an upload instruction to the knowledge management apparatus 100. Upon receiving this upload instruction, the operation device 300 reads the corresponding product file from the storage device 301 or the memory 303 and transmits it to the knowledge management device 100 via the communication device 307. This time is the trigger for step s100 in this flow.

Here we return to the explanation of the processing flow. Next, in the general procedure manual 126 or the case individual analysis procedure manual 130 placed in the memory 103 in step s102, the knowledge management apparatus 100 identifies a location where the data type and item type of the corresponding pair read in step s104 described above appear. Search is performed (s105).

The knowledge management device 100 identifies the appearance location by the search, and among the corresponding locations in the corresponding general procedure manual 126 or the case individual analysis procedure manual 130, the file name indicated by the above-mentioned corresponding pair is included in the appearance location of the data type. The item name indicated by the above-mentioned corresponding pair is inserted into the entry location of the item type among the corresponding locations. For example, the knowledge management apparatus 100 inserts the file name “custom.csv” indicated by the above-mentioned corresponding pair into the appearance location of the data type “attribute data”, and inserts the above-described location into the appearance location of the item type “member ID”. Insert the item name “customer number” indicated by the corresponding pair.

In addition, the knowledge management apparatus 100 uses a predetermined attribute in advance as a description location of the number of items related to the “data type” and the number of records related to the “item type” indicated by the corresponding pair in the general procedure manual 126 to the individual case analysis procedure manual 130. Read out the value associated with the corresponding pair from the data file information 150 and the data item information 151 as the correspondence table information, for the part where the character or value (for example, “???”) is set as a mark, Plug in. The knowledge management device 100 reads, for example, the number of items “21” and the number of records “1, 245, 218” related to the file name “custommcsv” that makes a corresponding pair with the data type “attribute data” from the data file information 150, Insert into the corresponding part. The knowledge management apparatus 100 reads, for example, the type “character string” relating to the item name “customer number” that forms a corresponding pair with the item type “member ID” from the data item information 151 and inserts it into the corresponding location.

The knowledge management device 100 stores the result of the specialization processing corresponding to the above steps s104 to s106 in the knowledge base 125 of the storage device 101 as the update result of the general procedure manual 126 or the case individual analysis procedure manual 130 (s112). ). Further, the knowledge management device 100 transmits the data of the case individual analysis procedure manual 130 updated in the above-described step s112 to the knowledge console 312 in the operation device 300 and displays the data (s113).

FIG. 11 shows a specific example of the case individual analysis procedure manual 130 displayed on the operation device 300 in step s113. The case individual analysis procedure manual 130 illustrated in FIG. 11 is not limited to the above-described “2. data understanding” procedure, but also each procedure of “3. data preparation” and “4. analysis”, that is, each procedure manual component 140. Also, the above-mentioned “insertion type” specialization process is applied. In addition, when registering the product file described above, the knowledge management device 100 receives the product file uploaded from the operation device 300, stores it in the knowledge base 125, and displays “(not yet) of the product mark 145. "Is updated to" (completed) "in the case individual analysis procedure manual 130 and returned to the operation device 300.

On the other hand, when it is determined that the result file type described above is the analysis result information as a result of the determination in step s103 (s103: NO), the knowledge management device 100 obtains the product file obtained from the operation device 300. The analysis result 1200 is read out from (S107). The analysis result 1200 includes the name of the data to be analyzed in the corresponding analysis process, the name of the adopted analysis method, the name of the tool used in the corresponding analysis method, the parameter value set for the tool, and the evaluation of the analysis result 1200. It is.

Next, the knowledge management apparatus 100 searches the general procedure manual 126 or the case individual analysis procedure manual 130 stored in the memory 103 in the above-described step s102 for a corresponding location describing the above-described analysis result 1200, and the above-described location is stored in the corresponding location. The analysis result 1200, that is, analysis result information is written (s108). The specialization processing corresponding to the above-described steps s107 and s108 is referred to as “variation type” specialization processing (s120) in the present embodiment. Details of the “variation type” specialization process (s120) will be described later.

Subsequently, the knowledge management device 100 reads out and refers to the component management information 141 from the storage device 101, and each chapter (phase) constituting the general procedure manual 126 or the individual project analysis procedure manual 130 on the condition of the analysis result 1200 described above. ), The procedure manual component 140 to be inserted, replaced, or deleted is selected (s109). In addition, if the corresponding part where the analysis result 1200 is to be described is set in the procedure manual part 140 selected in step s109, the knowledge management apparatus 100 writes the analysis result information in the corresponding part (s110). . In this processing, the knowledge management apparatus 100 searches for a predetermined tag (a character string, a symbol, a numerical value, etc.) set in advance in a part where the analysis result information is to be written in the procedure manual part 140, and Information corresponding to the attribute specified by the tag (indicated by the analysis result information) may be inserted.

Further, the knowledge management apparatus 100 inserts, replaces, and deletes each chapter constituting the general procedure manual 126 or the individual project analysis procedure manual 130, including the procedure manual component 140 processed in step s110 described above, that is, the procedure manual component 140. At least one of the above is executed (s111). The knowledge management apparatus 100 stores the result of the specialization processing in the above steps s107 to s111 as the update result of the general procedure manual 126 or the case individual analysis procedure manual 130 in the knowledge base 125 of the storage device 101 (s112). Further, the knowledge management device 100 transmits the data of the case individual analysis procedure manual 130 updated in the above-described step s112 to the knowledge console 312 in the operation device 300 and displays the data (s113).

The knowledge management device 100 receives a notification that the case individual analysis procedure manual 130 has been completed from the operation device 300, or a fixed ratio in which all the modified parts from the general procedure manual 126 to the case individual analysis procedure manual 130 are described When it becomes upper (s114: YES), the knowledge management apparatus 100 complete | finishes the flow of the specialization process mentioned above.

Subsequently, a specific example of the general procedure manual 126 that is a target of the “variation type” specialization process (s120) described above will be described. FIG. 12 is a diagram showing a configuration example 2 of the general procedure manual 126 in the present embodiment. In the general procedure manual 126 shown here, there are several options as an analysis method as described in the section “4.2 Analysis model” in the section “4. Analysis”, and it is executed. The tool also has options. In addition, in the data analysis, a plurality of analysis methods and tools are generally assumed as selection targets at the time of analysis trial. Even if the analysis method and the tool to be used are fixed, there are usually several options for parameters input to the tool.

The combination of analysis methods, tools used, and parameters that are suitable for the corresponding analysis work item differs depending on the item, so it is very important to pre-fix it as standard description in the general procedure manual 126. It is difficult to.

Therefore, as shown in the processing flow of FIG. 13, the knowledge management apparatus 100 includes a general procedure manual 126 to a procedure manual component 140 that includes information about each of the analysis method, the tool used, and the parameters described above. The case individual analysis procedure manual 130 is output to the operation device 300 via the communication device 107 (s200).

The user browses the general procedure manual 126 or the case individual analysis procedure manual 130 including the procedure manual component 140 in which the above-described information is described on the operation device 300, and there are options for each of the analysis method, the used tool, and the parameter. Recognize what to do. In addition, the user clicks a predetermined part of the general procedure manual 126 or the individual project analysis procedure manual 130 on the operation device 300 to send an analysis method, a tool to be used, and a parameter selection request to the knowledge management device 100. To do.

When the general procedure manual 126 or the case individual analysis procedure manual 130 output in step s200 described above includes the reference information 802, the knowledge management device 100 outputs the reference information 802 including the reference information 802 to the operation device 300. . This reference information 802 can be obtained, for example, by another user who has used the corresponding analysis method, the corresponding tool used, the corresponding parameter, etc. in the past (of course, the corresponding user himself / herself who is involved in this process) The knowledge obtained about the contents and results of the analysis is entered, and can be used as a thinking material for selecting the analysis method, the tool to be used, and the parameter by referring to the user. The user can feed back the validity of the reference information 802 to the knowledge management apparatus 100 by pressing the button 803 after the corresponding analysis trial. The knowledge management apparatus 100 stores the feedback result in the storage device 101 in association with the corresponding analysis method, tool used, parameter, and the like.

On the other hand, the knowledge management apparatus 100 that has received the selection request from the operation apparatus 300 reads out, for example, the navigation tool 801 shown in FIG. 12 from the storage apparatus 101 as an interface for accepting selection of analysis methods, tools used, and parameters. Return to the operation device 300 (s201). The operation device 300 displays the navigation tool 801 and waits for a selection operation from the user.

The navigation tool 801 illustrated in FIG. 12 is configured to display a combination of analysis methods, tools used, and parameter options in a tree structure 810. In addition, the navigation tool 801 in this example indicates that there are three options “1” to “3” as analysis methods for the analysis target data “obj.csv”. Further, among the selectable methods, there are two options “a” and “b” as tools that can execute the method “1”. Similarly, the method “2” includes “a” and “b”. While there are two options, it is shown that only the tool “b” can execute the method “3”. That is, it can be seen that there are a total of five combinations in this navigation tool 801. The user selects one of these five combinations, sets a parameter, and executes an analysis instruction to the analysis execution apparatus 200.

The user operates the operation device 300 and performs a designation operation such as a click operation on the branch 811 corresponding to the combination to be analyzed in the tree structure 810 of the navigation tool 801. FIG. 14 shows a configuration in which one of the combinations selected by the user in the operation device 300, that is, the branch 811A is highlighted in the tree structure 810 of the navigation tool 801. When the user selects one of the terminals 812 of the tree structure 810 with the mouse or the like in the operation device 300, the knowledge management device 100 that has received the selection from the operation device 300 causes the path or branch from the corresponding tree root 813 to the terminal 812. The display data is highlighted (represented by a thick line in FIG. 14), and a parameter input box 901 is assigned to the corresponding route, that is, the branch 811A, and returned to the operating device 300 (s202).

The user operates the operation device 300 and inputs the parameter of the tool in the combination of the analysis technique and the tool used corresponding to the above-described branch 811A to the parameter input box 901. On the other hand, the knowledge management device 100 acquires the value of the parameter input via the parameter input box 901 from the operation device 300 and stores it in association with the analysis method, tool, and analysis target data selected by the user. 101 (s203).

Note that the information related to the combination of the analysis technique, tool, parameter, and analysis target data exemplified in the form of the tree structure 810 as described above is actually exemplified in FIG. 15 in the storage device 101 of the knowledge management device 100. The data structure of the analysis trial management table 160 is shown. This analysis trial management table 160 is held in the knowledge base 125 as dynamic item information 129. One row in the analysis trial management table 160 corresponds to one combination described above, that is, a branch of the tree structure 810. When the user selects one branch 811A in the tree structure 810 of the navigation tool 801 and performs parameter setting, the knowledge management device 100 acquires corresponding information from the operation device 300, and the corresponding row of the analysis trial management table 160 (FIG. 15). In the fifth line), the parameter value (for example, “K = 20”) and the flag “1” indicating that the user has been selected are set.

On the other hand, when the user wants to try the analysis by changing the parameter value in the same analysis method and combination of tools, the user operates the operation device 300 to add a parameter node 1001 as shown in FIG. For example, when a double-click operation is performed on the icon of the tool “b” that is a higher node of the node 1001 on the operation device 300, the knowledge management device 100 that has received this event from the operation device 300 receives the tool “b”. Each of the display data of the new node 1001 newly branched from this node and the parameter input box 901 corresponding to the node 1001 is returned to the operation device 300. In FIG. 16, a new route including a new node 1001 newly branched from the node of the tool “b” corresponds to the branch 811F.

On the other hand, the above-described user recognizes the new node 1001 and the parameter input box 901 in the operation device 300, and sets the parameter value for the added node 1001. For the new node 1001, the value set by the user in the parameter input box 901 is combined with information such as an analysis method and a tool corresponding to the branch 811F, and transmitted from the operation device 300 to the knowledge management device 100.

In this case, in the analysis trial management table 160 in the knowledge management device 100, as illustrated in FIG. 17, the row corresponding to the above-described branch 811F (sixth row in the figure) is increased by one, and the parameter value and The flag “1” indicating that the user has been selected is set. Note that when there are a small number of parameter setting options in the tree structure 810, for example, there are only two parameter values, “0” and “1”, the node is below the “tool” node of the tree structure 810. In addition, a node corresponding to parameter value = 0 and a node corresponding to parameter value = 1 may be provided in advance. On the other hand, if the parameter value is a continuous value and a number of setting values are conceivable, as shown in FIGS. 14 to 17, first, a terminal node with a blank parameter value is prepared, and if necessary, a node Add and set parameter values.

If the result of data analysis performed using a combination of analysis methods, tools, and parameters corresponding to the branch selected by the user, for example, the tool “a” is found to be unusable, the knowledge management device 100 determines the tree structure. Recognizing that the branch 811 in 810, that is, the option has changed, as shown by the tree structure 810 in FIG. 18, the

branches

811C and 811E including the corresponding tool are displayed in dotted lines so as not to receive user selection. In this case, as shown in FIG. 19, the knowledge management apparatus 100 clears the “valid” flag in the corresponding row in the analysis trial management table 160 (sets the value to 0). As an example of a situation in which a tool cannot be used for analysis, for example, if the analysis target data is processed due to the relationship between the memory capacity in the analysis execution apparatus 200 and the memory usage associated with the execution of the analysis, processing due to memory shortage This is a case where there is a concern that problems such as stoppage may occur.

As described above, it is assumed that the operation device 300 clicks an analysis execution button 804 (see FIG. 12) on the navigation tool 801 after the user selects a combination to be tried from a plurality of options. In response to this click, the operation device 300 (or the knowledge management device 100) sends a branch 811 selected by the user with the navigation tool 801, that is, an analysis execution command corresponding to each combination of analysis technique, tool, and parameter to a predetermined protocol. Is transmitted to the analysis execution apparatus 200 to execute analysis processing. Alternatively, the operation device 300 downloads the analysis component 226 corresponding to the corresponding analysis process from the analysis execution device 200 and executes it, and executes it with the analysis execution console 311. FIG. 20 shows an example of the analysis processing result executed by the analysis execution apparatus 200 or the operation apparatus 300, that is, an analysis result 1200. The operation device 300 or the analysis execution device 200 holds the format of the prescribed analysis result 1200 in advance, sets the obtained analysis result in the corresponding format, and displays it on the output device or the like. In the analysis result 1200 illustrated in FIG. 20, value information 1210 such as an analysis method, a tool, and a parameter value used for the corresponding analysis is described, and further, a graph 1220 in which the value of the analysis result is drawn, obtained as the analysis result. The file name 1230 in which the model (a set of analysis methods, tools, parameters, analysis results, etc.) is stored is described. Note that the user can input an evaluation 1241 for the corresponding analysis result for the analysis result 1200 displayed on the operation device 300. Therefore, the analysis result 1200 includes an evaluation entry field 1240 as an interface. Similarly, the analysis result 1200 includes, as an interface, a comment field 1250 for entering a user's opinion 1251 or the like accompanying the above-described graph 1220 as a comment.

Also, the user clicks a registration execution button 1260 via the operation device 300 in order to register the analysis result 1200 as a product file for the corresponding chapter in the corresponding general procedure manual 126 or the individual project analysis procedure manual 130. The operation device 300 that has received the click operation transmits a product file including the corresponding analysis result 1200 to the knowledge management device 100.

On the other hand, the knowledge management device 100 stores the product file transmitted from the above-described operation device 300 in the knowledge base 125 (s204). Further, the knowledge management apparatus 100 records the storage location of the analysis result 1200 in the “result” column of the corresponding row in the analysis trial management table 160 for each combination in which the above-described trial is executed (s205). In addition, the knowledge management device 100 returns, to the operation device 300, display data in which the color tone or shape of the corresponding node at the end 812 is changed for the combination or branch that has been analyzed on the tree structure 810 of the navigation tool 801. To indicate to the user that it has been tried.

In this way, the knowledge management apparatus 100 that has obtained the results of analysis regarding combinations of various analysis methods, tools, and parameters as the deliverables uses the analysis results 1200 as the corresponding chapters of the corresponding general procedure manual 126 or the individual project analysis procedure manual 130, that is, A new procedure manual component 140 is added in the lower part of “4.2 Analysis Model”, which is a procedure manual component 140 listing selectable methods and tools (s206). That is, it is displayed as a variation of the analysis result. Therefore, in order to enumerate the analysis results for each combination of various analysis methods, tools, and parameters, the specialization process for adding the procedure manual part 140 to the general procedure manual 126 or the individual project analysis procedure manual 130 is a variation type. Called.

FIG. 21 shows an example of the project individual analysis procedure manual 130 formed as a result of this variation type specialization. The case individual analysis procedure manual 130 illustrated here includes a summary 2100 of trial contents performed in the above-described combination according to the user selection. In the corresponding chapter of the case individual analysis procedure manual 130, that is, the procedure manual component 140 in which the above-described outline 2100 is described, the user can give a comment. For example, when the user gives a comment regarding the chapter corresponding to “Trial 1”, the user clicks the label 2102 of [Trial 1] with the mouse on the operation device 300. On the other hand, the knowledge management apparatus 100 that has received the click event via the operation apparatus 300 returns the data in the comment input box 1301 that is a comment input interface to the operation apparatus 300.

The operation device 300 displays the comment input box 1301 described above, and receives and displays the input of the comment 1303 from the user. The received comment is transmitted from the operation device 300 to the knowledge management device 100, and various information (identification information of the general procedure manual 126 or the case individual analysis procedure manual 130, the procedure to be filled in) in the knowledge management device 100. The identification information of the book part 140, etc.). In addition, when the amount of comments to be entered is large and cannot be displayed as it is in the corresponding procedure manual component 140, it is preferable that the operation device 300 obtains and displays the reduced comment display field 1302 from the knowledge management device 100. .

As described above, as a result of performing the variation type specialization, the knowledge management apparatus 100 can recognize various analysis trial results in the case individual analysis procedure manual 130. Therefore, the knowledge management device 100 specializes the subsequent chapters (or may be previous chapters) in the case individual analysis procedure manual 130 based on the result obtained by the variation type specialization, that is, at least one analysis result. Will be processed.

Here, an example of the specialization of “exchange type” in which the existing procedure manual part 140 is replaced with another procedure manual part 140 in the general procedure manual 126 or the case individual analysis procedure manual 130 will be described first. FIG. 22 is a diagram showing a processing flow example 3 of the data analysis support method of the present embodiment.

In this case, the knowledge management apparatus 100 reads the value of a predetermined item (for example, the value of the evaluation 1241) of each model from the deliverable file registered from the operation apparatus 300 in accordance with the variation type specialization process described above. Are matched with the parts management information 141 (see FIG. 25), and the record in the parts management information 141 that has a “condition” that matches the attribute of the value of the predetermined item is specified (s300). That is, the procedure manual component 140 that matches the condition is specified by the component management information 141. In the component management information 141 illustrated in FIG. 25, one row corresponds to one procedure manual component 140.

For example, when the value of the evaluation 1241 of each model is read from the deliverable file, the knowledge management apparatus 100 determines that any of those values exceeds a predetermined reference value, and the condition “ The component management information 141 identifies the record “T5-01” in which “when the discrimination accuracy is sufficient” is specified.

Subsequently, the knowledge management apparatus 100 searches the part identified by the predetermined tag in the record specified in the above step s300, that is, the procedure manual part 140, and obtains information corresponding to the attribute indicated by the corresponding tag as the above-described product file. It is specified and read, and this is inserted into the description location of the corresponding tag (s301). For example, in the procedure manual component “T5-01” identified in step s300, a tag “highest accuracy model name” is attached immediately below the description 1405 “KNN model with the highest accuracy”. In this case, the knowledge management apparatus 100 identifies the model “knn-k10.xml” with the highest evaluation 1241 value from the deliverable file as the model having the highest accuracy, and Insert it into the grant point. In the case individual analysis procedure manual 130 illustrated in FIG. 23, a description 1420 “knn−k10.xml” is inserted into the location 1410.

In this way, the knowledge management apparatus 100 that has executed the insertion process for the procedure manual part 140 sets the procedure manual part 140 specialized by the process to the corresponding chapter of the value indicated by the “phase” in the corresponding record of the part management information 141 or the surrounding area. The existing procedure manual part 140 is replaced and arranged (s302). In the example of the case individual analysis procedure manual 130 shown in FIG. 23, the specialized procedure manual component 140 is arranged in the lower part of the chapter “5. Measure Proposal” indicated by “Phase” in the corresponding record of the component management information 141. The existing procedure manual part that has been used is taken out and replaced by a specialized procedure manual part 140 into which a character string such as “knn-k10.xml” is inserted, that is, by “insertion type” specialization.

In the part management information 141 illustrated in FIG. 25, each row, that is, each procedure manual part 140 is assigned an ID. In addition, the “phase” column defines which position (chapter or section) the procedure manual component 140 should be applied to in the general procedure manual 126 or the individual project analysis procedure manual 130. The “condition” in the record indicates a condition for using the procedure manual component 140.

When “none” is set in the “condition”, this means that the procedure manual component 140 can be used regardless of the contents of the analysis result 1200. For example, the procedure manual part 140 with ID “T4-00” can be used as a part of “Section 4.1” regardless of the analysis result 1200. On the other hand, a description other than “none” in “condition” means that the procedure manual component 140 can be used when the condition is satisfied. For example, the procedure manual component 140 with ID “T5-02” is used in “Chapter 5” when the discrimination accuracy indicated by the analysis result 1200 is insufficient.

Also, in the “comment number” and “feedback” fields in the record, the number of times “helpful” feedback shown in FIG. 12 and the number of comments 1303 shown in FIG. 21 are recorded. For example, the knowledge management apparatus 100 may preferentially use the procedure manual component 140 having a large number of “comments” and “feedback” in a situation where there are a plurality of procedure manual components 140 that can be used. It can be used as a judgment material for determining which part is used.

In the specific example related to step s300 described above, when any of the evaluation 1241 values read from each model does not exceed the predetermined reference value, that is, in any model, the evaluation value of “ACCURACY” is “No”. In this case, the knowledge management apparatus 100 identifies the record “T5-02” in which the corresponding condition “insufficient discrimination accuracy” is specified in the part management information 141.

In that case, the knowledge management device 100, as in the example of the case individual analysis procedure manual 130 shown in FIG. 24, describes the predetermined clause in the phase “Chapter 5” indicated by the above-mentioned “T5-02”. Instead of “extract members with higher scores”, the procedure manual component 140 “extract member segments” is replaced. In addition, the knowledge management apparatus 100 reads out the items (specified in the corresponding procedure manual part 140) to be described in the “Chapter 5” from the analysis result of the trial based on the selection in the tree structure 810 described above, and applies It is inserted into the place and arranged in the general procedure manual 126 or the case individual analysis procedure manual 130 in the same manner as the above-described step s301.

When the new procedure manual part 140 to be replaced with the existing procedure manual part 140 is blank, the replacement process is performed by deleting the existing procedure manual part 140 in the corresponding part of the general procedure manual 126 or the case individual analysis procedure manual 130. It corresponds to.

Further, as an example of such specialization of the replacement type, there may be a case where a procedure manual part 140 that is not included in the original general procedure manual 126 or the case individual analysis procedure manual 130 is added. For example, after the procedure up to “4. analysis” and “5. measure proposal” in the case individual analysis procedure manual 130 is completed, the user reports the analysis result 1200 to the customer (mail order company A). Suppose you are not satisfied and you have to do additional analysis. In this case, the user reads out the “analysis addition” procedure manual component 140 from the component management information 141 as a result of the measure proposal in the operation device 300, or newly writes the procedure manual individually, and the corresponding case individual analysis procedure The operation of writing in the document 130 is performed.

At this time, the knowledge management apparatus 100 acquires the “analysis addition” procedure manual part 140 from the operation device 300 described above and adds it as “5. measure proposal” at the end of the individual project analysis procedure manual 130 thus far. To do. The place where “analysis procedure was completed” originally was replaced with the procedure manual component 140 of “5. The user resumes the predetermined analysis work in response to the added “5.

In the process of specialization of the general procedure manual 126 or the individual project analysis procedure manual 130 described so far, (1) general procedure manual (and procedure manual parts), (2) individual project analysis procedure manual (and (Specialized procedure manual parts), (3) deliverables, (4) comments, (5) analysis execution history, (6) analysis input data, (7) analysis output data (analysis results) Is referenced and generated.

The user refers to the information (1) to (4) on the knowledge console 312 and the information (5) to (7) on the analysis execution console 311. Each of these pieces of information is given an ID and stored in the storage device of the knowledge management device 100, and the user can refer to each other's corresponding information using the ID as a key. These mutual relationships are shown in FIG.

For example, the knowledge management device 100 obtains information at any time by itself or inquiring of other devices at the time of execution of each process, for example, in each of the analysis command histories held in the execution history DB 228. Corresponding ID of analysis data (held in data store 227) used at the time of command execution and ID of model storage file of analysis result 1200 (held in data store 227 or knowledge base 125) obtained as an execution result In the ID management table 170 (or execution history) illustrated in FIG.

If such ID association is executed for each process, for example, when the user tries to refer to the execution history, the data used at the time of execution can be searched and recognized. On the other hand, when referring to the analysis object data or the analysis result 1200, the ID can be searched from the execution history to know which analysis command has used these data.

In addition, when the user inputs a comment in the general procedure manual 126 or the case individual analysis procedure manual 130, the knowledge management apparatus 100 executes the execution history, analysis data, analysis result 1200, and deliverables mentioned in the comment. If each ID is obtained from the analysis execution device 200 or the ID management table 170 holding the corresponding data and stored in the ID management table 170 in association with each other, the corresponding user or other user will later assign the corresponding comment individually When the analysis procedure manual 130 is read, the search instruction based on the execution history, analysis data, analysis result 1200, and deliverables mentioned therein is instructed to the knowledge management apparatus 100, and the corresponding information can be referred to immediately. Conversely, by searching the execution history, analysis data, analysis result 1200, and product ID from the comments, it is possible to find a comment referring to these.

In addition, each of the deliverables holds the ID of the analysis result 1200 that is the source. The user can know the analysis result 1200 that is the source of the product, and conversely, can know which product the analysis result 1200 is stored as. The deliverable is also stored together with the ID of the corresponding procedure manual part 140 in order to indicate which part of the case individual analysis procedure manual 130 is related to the product.

As described above, when storing information related to each analysis procedure, the knowledge management apparatus 100 draws and presents the related information in a formula that also stores the related information when referring to it by storing the ID of the related information together. be able to. FIG. 28 shows a cross-reference image of information managed by associating IDs with the above-described idea. In this case, the knowledge console 312 displays an analysis result 1200 and a comment 2500 related thereto. In this comment 2500, an execution history ID 2510 is embedded. Therefore, when the user clicks on the ID 2510 on the knowledge console 312, the analysis execution console 311 transmits a search request using the analysis history ID 2510 as a key to the knowledge management apparatus 100, and responds to the search request. The result of the search executed in the ID management table 170 of the knowledge management device 100 is returned from the knowledge management device 100. The analysis execution console 311 of the operation device 300 displays the result obtained from the knowledge management device 100, that is, the execution history information 2520 associated with the analysis history ID 2510. Further, the user sends an information request using the analysis history ID 2510 as a key to the knowledge management device 100 from the operation device 300 and makes an inquiry to the ID management table 170 (the knowledge base 125 or the data store 227 of the analysis execution device 200). The input data associated with the analysis history ID 2510 and the file name of the analysis result 1200 can be extracted.

The best mode for carrying out the present invention has been specifically described above. However, the present invention is not limited to this, and various modifications can be made without departing from the scope of the present invention.

According to this embodiment, it is possible to efficiently generate a procedure manual corresponding to each analysis work with high accuracy and provide a technology for supporting the analysis work.

記載 At least the following will be made clear by the description in this specification. That is, in the data analysis support system according to the present embodiment, in the editing process, the arithmetic device specifies a procedure manual component in which the received execution result satisfies the predetermined condition in a storage device, and the specified procedure manual component Is further executed by replacing the analysis procedure in the general procedure manual with the analysis procedure, and in the output process, the general procedure is executed by the designated acquisition process and the editing process executed as many times as necessary for the general procedure manual. It is also possible to output individual procedure manual data to an output device or a predetermined terminal, which is formed by replacing at least one of the procedure manual parts and / or inserting the procedure manual parts with respect to a necessary part in the manual. .

According to this, it is possible to efficiently form an individual procedure manual that is accurately matched to the circumstances of each user by performing at least one of replacement or insertion of necessary portions according to the execution result of the analysis procedure. It becomes.

Further, in the data analysis support system of the present embodiment, the arithmetic device, in the editing process, when the received execution result does not identify the procedure manual component that satisfies the predetermined condition in the storage device, or the reception If the execution result satisfies a predetermined deletion condition, the processing for deleting the analysis procedure in the general procedure manual is further executed, and in the output process, the designated acquisition process executed as many times as necessary for the general procedure manual and As a result of the editing process, the necessary parts in the general procedure manual are deleted or inserted into the procedure manual parts, and the individual procedure manual data is output to an output device or a predetermined terminal. Also good.

According to this, by performing at least one of deletion or insertion of a necessary part according to the execution result of the analysis procedure, it is possible to efficiently form an individual procedure manual that matches the individual circumstances of the user more accurately. Is possible.

Further, in the data analysis support system according to the present embodiment, in the editing process, the arithmetic device specifies a procedure manual component in which the received execution result satisfies the predetermined condition in a storage device, and the specified procedure manual component If the data is not replaced with the process of replacing the analysis procedure in the general procedure manual and the received execution result satisfies the predetermined condition in the storage device, or the received execution result is When the predetermined deletion condition is satisfied, at least one of the process of deleting the analysis procedure in the general procedure manual is further executed, and the specified acquisition that is executed as many times as necessary for the general procedure document in the output process Processing and editing processing, the necessary parts in the general procedure manual are deleted, replaced with the procedure manual parts, and Was formed by performing at least one of insertion of the serial procedures component, and outputs data to the output device to a predetermined terminal of the individual procedures may be.

According to this, it is possible to efficiently form an individual procedure manual that more accurately and reliably matches the individual circumstances of the user by performing at least one of deletion, replacement, or insertion of a required portion according to the execution result of the analysis procedure. Can be performed automatically.

Further, in the data analysis support system of the present embodiment, the storage device includes, as selection items related to the processing contents of the predetermined analysis procedure included in the general procedure manual, analysis target data, analysis technique, and analysis parameters in the corresponding analysis procedure. Among them, information regarding at least one of user-selectable items, or a combination of two or more is further held, and the arithmetic device performs processing in the analysis procedure indicated by the general procedure in the designated acquisition process. For the contents that can be selected, the information of the selection item is read from the storage device and output to the output device or the predetermined terminal, and the user's designation regarding the selection item is received from the input device or the predetermined terminal. Corresponding analysis according to designation of the selection item regarding the processing content by the user The sequential execution result is received from the input device or the predetermined terminal, the procedure manual component that the received execution result satisfies the predetermined condition is specified in the storage device, and the data of the specified procedure manual component in the general procedure manual It is good also as what is inserted in the circumference | surroundings of the description location of the said analysis procedure, or the said description location.

According to this, it becomes possible for the user to arbitrarily specify conditions for the execution contents of the analysis procedure, and it is possible to surely obtain the execution result of the analysis procedure that meets a wide range of user needs. It becomes possible to efficiently form an individual procedure manual that matches with high accuracy.

In the data analysis support system according to the present embodiment, the arithmetic device inputs a user comment or a result value of a predetermined analysis procedure regarding a predetermined portion of the general procedure manual or the individual procedure manual to an input device or a predetermined terminal. And receiving the comment or the result value and the predetermined location in a storage device in association with each other, and storing the comment or the result value in the corresponding general procedure manual or the corresponding individual procedure manual. And a comment display process that is output to an output device or a predetermined terminal. According to this, when a user executes an analysis work in accordance with a general procedure manual or an individual procedure manual, or when the analysis work is interrupted and resumed, or when another user is in charge of the same matter, etc. In various situations, it is possible to quickly confirm comments that have been obtained in previous work, useful for analysis work, etc., and the accuracy of user operations and input details regarding each process required for the creation of individual procedure manuals thereafter. As a result, it becomes possible to efficiently form an individual procedure manual that is accurately matched to the circumstances of each user.

Further, in the data analysis support system of the present embodiment, the arithmetic unit is configured to execute a general procedure manual specified by the user, a specified content of the processing content related to the general procedure manual, and an analysis procedure execution result according to the specified content. , At least two or more of a procedure manual part whose execution result satisfies the predetermined condition, a necessary part to which the procedure manual part is applied, and the individual procedure manual formed by applying the procedure manual part to the necessary part ID information that identifies each other is assigned to each other, and an ID assignment process for storing an execution history in a storage device of itself or another device and an execution history search request based on predetermined information are received by an input device or a predetermined terminal. In the case, the correspondence information identified by the same ID as the predetermined information is extracted from the execution history in the storage device, and the extracted correspondence information is extracted from the general procedure. Or wherein in association with the predetermined information in the individual procedures, the corresponding history outputting process of outputting to the output device to a predetermined terminal, may be the one in which further executes.

According to this, when a user executes an analysis work in accordance with a general procedure manual or an individual procedure manual, or when the analysis work is interrupted and resumed, or when another user is in charge of the same matter, etc. In various situations, it is possible to quickly confirm various types of information that have been obtained in the previous work by associating them with each other, and the user's operation accuracy and input for each process required for the creation of individual procedure manuals thereafter. As a result, the accuracy of the contents is improved, and as a result, it is possible to efficiently form an individual procedure manual that is accurately matched according to individual circumstances.

Further, in the data analysis support method of the present embodiment, the information processing apparatus specifies, in the editing process, a procedure manual component in which the received execution result satisfies the predetermined condition in a storage device, and the specified procedure manual A process of replacing part data with the analysis procedure in the general procedure manual is further executed, and in the output process, the general acquisition is performed by the designated acquisition process and the editing process executed as many times as necessary for the general procedure manual. It is also possible to output the data of the individual procedure manuals formed by performing at least one of replacement with the procedure manual parts or insertion of the procedure manual parts for necessary parts in the procedure manuals to an output device or a predetermined terminal.

Further, in the data analysis support method of the present embodiment, when the information processing apparatus cannot identify a procedure manual part that the received execution result satisfies the predetermined condition in a storage device in the editing process, or When the received execution result satisfies a predetermined deletion condition, the process for deleting the analysis procedure in the general procedure manual is further executed, and the designated acquisition process executed as many times as necessary for the general procedure document in the output process In addition, by the editing process, the data of the individual procedure manual formed by deleting at least one of the necessary parts in the general procedure manual or inserting the procedure manual parts may be output to an output device or a predetermined terminal. .

Further, in the data analysis support method of the present embodiment, the information processing apparatus specifies, in the editing process, a procedure manual component in which the received execution result satisfies the predetermined condition in a storage device, and the specified procedure manual Processing for replacing part data with the analysis procedure in the general procedure manual, and when the received execution result satisfies the predetermined condition in the storage device, or the received execution result Is further executed at least one of the process of deleting the analysis procedure in the general procedure, and the designation is executed as many times as necessary for the general procedure in the output process By the acquisition process and the editing process, the necessary parts in the general procedure manual are deleted, replaced with the procedure manual parts, and It was formed by performing at least one of insertion of the serial procedures component, and outputs the data to the output device to a predetermined terminal of the individual procedures may be.

Further, in the data analysis support method according to the present embodiment, the information processing apparatus uses, as the selection items regarding the processing contents of the predetermined analysis procedure included in the general procedure manual, the analysis target data, the analysis technique in the corresponding analysis procedure, in the storage device. And information regarding at least one of user-selectable items or a combination of two or more of the parameters for analysis, and processing contents of the analysis procedure indicated by the general procedure in the designated acquisition process For information that can be selected, the information of the selection item is read out from the storage device and output to the output device or the predetermined terminal, and from the input device or the predetermined terminal, the designation of the user regarding the selection item is accepted, and in the editing process, Corresponding analysis procedure according to designation of the selection item related to the processing content by the user An execution result is received from an input device or a predetermined terminal, and a procedure manual part that satisfies the predetermined condition is specified in a storage device, and the data of the specified procedure manual part is analyzed in the general procedure manual It is good also as inserting the circumference | surroundings of the description place of the procedure or the said description place.

Further, in the data analysis support method of the present embodiment, the information processing apparatus inputs the user's comment or the result value of the predetermined analysis procedure regarding the predetermined location of the general procedure manual or the individual procedure manual. And the comment or the result value and the predetermined location are stored in the storage device in association with each other, and the comment acquisition process and the comment or the result value corresponding to the corresponding general procedure manual or the corresponding individual procedure manual. It is also possible to further execute comment display processing that is given to the location and output to an output device or a predetermined terminal.

According to this, when a user executes an analysis work in accordance with a general procedure manual or an individual procedure manual, or when the analysis work is interrupted and resumed, or when another user is in charge of the same matter, etc. In various situations, it is possible to quickly confirm comments that have been obtained in previous work, useful for analysis work, etc., and the accuracy of user operations and input details regarding each process required for the creation of individual procedure manuals thereafter. As a result, it becomes possible to efficiently form an individual procedure manual that is accurately matched to the circumstances of each user.

Further, in the data analysis support method of the present embodiment, the information processing apparatus executes a general procedure manual designated by the user, a designated content of the processing content related to the general procedure documentation, and an analysis procedure corresponding to the designated content As a result, at least two of a procedure manual part whose execution result satisfies the predetermined condition, a necessary part where the procedure manual part is applied, and the individual procedure manual formed by applying the procedure manual part to the necessary part The above information is assigned an ID that can be distinguished from each other, and an ID assignment process for storing the execution history in its own or other device storage device and an execution history search request based on the predetermined information are received by the input device or the predetermined terminal. If the correspondence information identified by the same ID as the predetermined information is extracted from the execution history in the storage device, the extracted correspondence information is extracted from the general procedure. Or wherein in association with the predetermined information in the individual procedures, the corresponding history outputting process of outputting to the output device to a predetermined terminal may be further executes.

10 data analysis support system 20 network 100

knowledge management device

101, 201, 301

storage device

102, 202, 302

program

103, 203, 303

memory

104, 204, 304 arithmetic device 305 input device 306

output device

107, 207, 307 communication device 125 Knowledge Base 126 General Procedure Manual 127 Case Individual Information 128 (Static) Case Information 129 (Dynamic) Case Information 130 Case Individual Analysis Procedure Manual (Individual Procedure Manual)
140 Procedure manual component 141 Component management information 145 Deliverable mark 150 Data file information 151 Data item information 160 Analysis trial management table 170 ID management table 200 Analysis execution device 225 Analysis component management DB
226 Analysis component 227 Data store 228 Execution history DB
300 Operating device 311 Analysis execution console 312 Knowledge console 400 External device 425 External data source

Claims

A storage device that holds data of general procedure manuals describing standard work procedures for each analysis work, and data of procedure manual parts that can be configured under predetermined conditions;
General procedure manual data according to the user's designation is read from the storage device and output to an output device or a predetermined terminal. Among the analysis procedures indicated by the corresponding general procedure manual, an input device or a predetermined terminal can be selected. Moreover, a specification acquisition process for receiving the user's specification,
The execution result of the corresponding analysis procedure according to the specification of the processing content by the user is received from the input device or the predetermined terminal, the procedure manual component that the received execution result satisfies the predetermined condition is specified in the storage device, and the specification Edit processing for inserting the data of the procedure manual part, which is inserted around the description position of the analysis procedure in the general procedure manual or around the description position;
Data of individual procedure manuals formed by inserting the procedure manual parts into necessary locations in the general procedure manuals by the designated acquisition process and the editing process that are executed as many times as necessary with respect to the general procedure manuals. An arithmetic unit that executes output processing to be output to the terminal;
A data analysis support system characterized by comprising:
The arithmetic unit is:
In the editing process, a process for identifying a procedure manual part for which the received execution result satisfies the predetermined condition in a storage device, and replacing the data of the identified procedure manual part with the analysis procedure in the general procedure manual Perform further,
In the output process, at least the replacement of the necessary part in the general procedure manual with the procedure manual part or the insertion of the procedure manual part is performed by the designated acquisition process and the editing process executed as many times as necessary for the general procedure manual. The data of the individual procedure manual formed by performing either is output to an output device or a predetermined terminal.
The data analysis support system according to claim 1.
The arithmetic unit is:
In the editing process, when the received execution result does not specify a procedure manual part that satisfies the predetermined condition in a storage device, or when the received execution result satisfies a predetermined deletion condition, Further executing a process of deleting the analysis procedure,
In the output process, the designated acquisition process and the editing process executed as many times as necessary with respect to the general procedure manual are performed by deleting at least one of necessary parts in the general procedure manual or inserting the procedure manual parts. The individual procedure manual data is output to an output device or a predetermined terminal.
The data analysis support system according to claim 1.
The arithmetic unit is:
In the editing process, a process for identifying a procedure manual part for which the received execution result satisfies the predetermined condition in a storage device, and replacing data of the identified procedure manual part with the analysis procedure in the general procedure manual; If the received execution result does not identify a procedure manual part that satisfies the predetermined condition in a storage device, or if the received execution result satisfies a predetermined deletion condition, the analysis procedure in the general procedure manual is And further executing at least one of the process of deleting,
In the output process, by the designated acquisition process and the editing process that are executed as many times as necessary for the general procedure manual, the necessary parts in the general procedure manual are deleted, replaced with the procedure manual part, and the procedure manual part The data of the individual procedure manual formed by performing at least one of the insertions is output to an output device or a predetermined terminal.
The data analysis support system according to claim 1.
The storage device
As selection items related to the processing contents of the predetermined analysis procedure included in the general procedure manual, at least one of user-selectable items or two or more of analysis target data, analysis technique, and analysis parameter in the corresponding analysis procedure It holds further information about the combination,
The arithmetic unit is:
In the designated acquisition process, information on the selection item is read from a storage device and output to an output device or a predetermined terminal for an analysis procedure that can be selected from the analysis procedure indicated by the general procedure manual, and is input to the output device or the predetermined terminal. From the terminal, accepting the user's specification regarding the selection item,
In the editing process, an execution result of the corresponding analysis procedure according to designation of the selection item related to the processing content by the user is received from an input device or a predetermined terminal, and the received procedure result satisfies the predetermined condition. Is specified in the storage device, and the data of the specified procedure manual part is inserted around the description location or the description location of the analysis procedure in the general procedure manual.
The data analysis support system according to claim 1.
The arithmetic unit is:
An input device or a predetermined terminal accepts a user's comment or a result value of a predetermined analysis procedure regarding a predetermined location of the general procedure manual or the individual procedure manual, and the comment or the result value corresponds to the predetermined location. A comment acquisition process to be stored in the storage device, and
A comment display process for assigning the comment or the result value to a corresponding part of the corresponding general procedure manual or the corresponding individual procedure manual and outputting it to an output device or a predetermined terminal;
The data analysis support system according to claim 1, further comprising:
The arithmetic unit is:
A general procedure manual specified by the user, a specified content of the processing content related to the general procedure manual, an execution result of an analysis procedure according to the specified content, a procedure manual component satisfying the predetermined condition, and the procedure manual An ID that can identify each other is assigned to at least two pieces of information of a necessary part where a part is applied and the individual procedure manual formed by applying the procedure manual part to the necessary part, and the execution history itself ID assignment processing to be stored in the storage device of or other device,
When an execution history search request based on the predetermined information is received by the input device or the predetermined terminal, correspondence information identified by the same ID as the predetermined information is extracted from the execution history in the storage device, and the extracted correspondence information is A correspondence history output process for outputting to the output device or the predetermined terminal in association with the predetermined information in the general procedure manual or the individual procedure manual;
The data analysis support system according to claim 1, further comprising:
An information processing apparatus including a storage device that holds data of a general procedure manual that describes a standard work procedure for each analysis task and data of a procedure manual component that can be configured under a predetermined condition.
General procedure manual data according to the user's designation is read from the storage device and output to an output device or a predetermined terminal. Among the analysis procedures indicated by the corresponding general procedure manual, an input device or a predetermined terminal can be selected. Moreover, a specification acquisition process for receiving the user's specification,
The execution result of the corresponding analysis procedure according to the specification of the processing content by the user is received from the input device or the predetermined terminal, the procedure manual component that the received execution result satisfies the predetermined condition is specified in the storage device, and the specification Edit processing for inserting the data of the procedure manual part, which is inserted around the description position of the analysis procedure in the general procedure manual or around the description position;
Data of individual procedure manuals formed by inserting the procedure manual parts into necessary locations in the general procedure manuals by the designated acquisition process and the editing process that are executed as many times as necessary with respect to the general procedure manuals. Output processing to output to the terminal;
A data analysis support method characterized by executing
The information processing apparatus is
In the editing process, a process for identifying a procedure manual part for which the received execution result satisfies the predetermined condition in a storage device, and replacing the data of the identified procedure manual part with the analysis procedure in the general procedure manual Perform further,
In the output process, at least the replacement of the necessary part in the general procedure manual with the procedure manual part or the insertion of the procedure manual part is performed by the designated acquisition process and the editing process executed as many times as necessary for the general procedure manual. Output the individual procedure manual data formed by doing either to an output device or a predetermined terminal.
The data analysis support method according to claim 8, wherein:
The information processing apparatus is
In the editing process, when the received execution result does not specify a procedure manual part that satisfies the predetermined condition in a storage device, or when the received execution result satisfies a predetermined deletion condition, Further executing a process of deleting the analysis procedure,
In the output process, the designated acquisition process and the editing process executed as many times as necessary with respect to the general procedure manual are performed by deleting at least one of necessary parts in the general procedure manual or inserting the procedure manual parts. The data of the individual procedure manual is output to an output device or a predetermined terminal.
The data analysis support method according to claim 8, wherein:
The information processing apparatus is
In the editing process, a process for identifying a procedure manual part for which the received execution result satisfies the predetermined condition in a storage device, and replacing data of the identified procedure manual part with the analysis procedure in the general procedure manual; If the received execution result does not identify a procedure manual part that satisfies the predetermined condition in a storage device, or if the received execution result satisfies a predetermined deletion condition, the analysis procedure in the general procedure manual is And further executing at least one of the process of deleting,
In the output process, by the designated acquisition process and the editing process that are executed as many times as necessary for the general procedure manual, the necessary parts in the general procedure manual are deleted, replaced with the procedure manual part, and the procedure manual part Outputting individual procedure manual data formed by performing at least one of insertion to an output device or a predetermined terminal;
The data analysis support method according to claim 8, wherein:
The information processing apparatus is
In the storage device, as selection items related to the processing contents of the predetermined analysis procedure included in the general procedure manual, at least one of user-selectable items among analysis target data, analysis technique, and analysis parameters in the corresponding analysis procedure, Or keep more information about two or more combinations,
In the designated acquisition process, information on the selection item is read from a storage device and output to an output device or a predetermined terminal for an analysis procedure that can be selected from the analysis procedure indicated by the general procedure manual, and is input to the output device or the predetermined terminal. From the terminal, accepting the user's specification regarding the selection item,
In the editing process, an execution result of the corresponding analysis procedure according to designation of the selection item related to the processing content by the user is received from an input device or a predetermined terminal, and the received procedure result satisfies the predetermined condition. Is specified in the storage device, and the data of the specified procedure manual part is inserted in the general procedure manual where the analysis procedure is described or around the description location.
The data analysis support method according to claim 8, wherein:
The information processing apparatus is
An input device or a predetermined terminal accepts a user's comment or a result value of a predetermined analysis procedure regarding a predetermined location of the general procedure manual or the individual procedure manual, and the comment or the result value corresponds to the predetermined location. A comment acquisition process to be stored in the storage device, and
A comment display process for assigning the comment or the result value to a corresponding part of the corresponding general procedure manual or the corresponding individual procedure manual and outputting it to an output device or a predetermined terminal;
The data analysis support method according to claim 8, further comprising:
The information processing apparatus is
A general procedure manual specified by the user, a specified content of the processing content related to the general procedure manual, an execution result of an analysis procedure according to the specified content, a procedure manual component satisfying the predetermined condition, and the procedure manual An ID that can identify each other is assigned to at least two pieces of information of a necessary part where a part is applied and the individual procedure manual formed by applying the procedure manual part to the necessary part, and the execution history itself ID assignment processing to be stored in the storage device of or other device,
When an execution history search request based on the predetermined information is received by the input device or the predetermined terminal, correspondence information identified by the same ID as the predetermined information is extracted from the execution history in the storage device, and the extracted correspondence information is A correspondence history output process for outputting to the output device or the predetermined terminal in association with the predetermined information in the general procedure manual or the individual procedure manual;
The data analysis support method according to claim 8, further comprising: