KR102386334B1 - Method and apparatus for outputting process mining results - Google Patents

Abstract

Disclosed are a method for outputting a result of a process analysis performed in a data processing apparatus and an apparatus therefor. The process analysis result output method includes: acquiring a data source including an event log recording a plurality of details on individual events belonging to a process; and the event log based on a signal obtained from a user designating a property to the plurality of details of , generating a data set based on the data source including an event log to which the property is specified, and displaying each of a plurality of preset data analysis algorithms in the form of an icon , determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on a signal obtained from a user, applying the at least one data analysis algorithm to the data set; and outputting at least one or more diagrams schematically showing results of applying the at least one or more data analysis algorithms. As a result, it is possible to efficiently analyze the process by visualizing the analysis result of the user process.

Description

Method and device for outputting process mining results {METHOD AND APPARATUS FOR OUTPUTTING PROCESS MINING RESULTS}

The present invention relates to a method and apparatus for providing a process mining result, and more particularly, to a method and apparatus for performing process mining through data filtering and providing the result.

Process mining is a method to easily analyze process models and patterns by collecting event logs generated by systems and devices. When a sequential process model is derived based on the event log using process mining, the user analyzes the characteristics of the system or device that generated the event log based on the derived process model. Process mining provides a process model to the user and helps the user to understand the main work flow.

In general, the process of process mining, which analyzes a process based on an event log, has been performed with code at the level of programming language rather than based on a graphic user interface (GUI). Therefore, there is a problem in that it is difficult for the user to intuitively check the process model and the analysis result thereof.

In addition, in order for the user to analyze the process, it is necessary to check the analysis results obtained by various algorithms. The existing process mining interface used data analysis algorithms individually to process and analyze data. As a result, there was a problem in that the user had to analyze the process model based on data in which the effective connection between each analysis result was poor.

In addition, when a user wants to filter outliers or data that does not match the criteria, which is data that is deviating from the general process as a result of process mining, there is an inconvenience of writing a separate code or individually editing the data to be removed.

An object of the present invention for solving the above problems is to provide a data analysis method and apparatus for providing a process mining result.

Another object of the present invention to solve the above problems is to provide a method and an apparatus for providing a result of performing process mining by using filtered data.

In order to achieve the above object, a method for outputting a process mining result performed in a data processing apparatus according to an embodiment of the present invention is an event log ( obtaining a data source including an event log); assigning respective properties to the plurality of details recorded in the event log based on a first signal obtained from a user; generating a data set based on the data source including A first diagram showing a result of determining at least one data analysis algorithm to be applied to the data set, applying the at least one data analysis algorithm to the data set, and applying the at least one data analysis algorithm outputting; may include

Here, the properties of each of the plurality of details of the event log include a case ID indicating a case that is an object of the process, an activity indicating an activity performed by the object of the process, and the activity It may be at least one of a time stamp indicating a start time and an end time of , and performer information indicating a subject who performed the activity.

Here, the method for outputting the process mining result includes: generating a filter for detecting a data set satisfying a preset condition among the data sets based on a signal obtained from the user; detecting the data set satisfying a set condition, applying the detected data set to the determined at least one or more data analysis algorithms, and applying the first diagram to the determined at least one or more data analysis algorithms The method may further include outputting a second diagram representing a result of applying the set.

Here, the step of generating a filter for detecting the data set includes: obtaining information on the activity to be filtered and information on the performer of the task to be filtered from the user; obtaining information on one of the AND/OR operators to be performed, obtaining information on whether the activity to be filtered and the task performer to be filtered is included from the user, and the activity information obtained from the user, the task performer information, The method may include setting the condition of the filter based on information on one of the operators and the information on whether the activity and the task performer are included.

Here, generating the filter for detecting the data set includes: obtaining time information of the activity to be filtered from the user; obtaining period information of the activity to be filtered from the user; and from the user The method may further include setting the condition of the filter based on the acquired time information of the activity and period information of the activity.

Here, the step of generating a filter for detecting the data set includes: obtaining information on a preceding activity executed first and information on a subsequent activity executed later in a combination of a plurality of activities to be filtered from the user; obtaining connection relationship information of the preceding activity and the succeeding activity from obtaining information on whether the combination of the preceding activity and the succeeding activity is included from the user, and the preceding activity information, the succeeding activity information, connection relationship information between the preceding activity and the succeeding activity, and the operator obtained from the user and setting the condition of the filter based on one of the information and information on whether the preceding activity and the succeeding activity are included.

Here, generating a filter for detecting the data set includes: obtaining time information of a case to be filtered from the user; obtaining information on the number of events performed in a case to be filtered from the user; Obtaining period information of a case to be filtered from a user, and setting the condition of the filter based on time information of the case obtained from the user, information on the number of events performed in the case, and period information of the case may include the step of

Here, the generating of the filter includes generating filters based on a signal obtained from the user among a plurality of preset filters, and the filtering of the data of the data set includes filtering data by combining the generated filters. can do.

Here, the method of outputting the process mining result may further include displaying the generated filter and displaying a ratio of unfiltered data among the entire data set.

In order to achieve the above object, an apparatus for outputting a process mining result according to an embodiment of the present invention includes a processor and a memory in which at least one instruction executed through the processor is stored, and the at least one The command of obtains a data source including an event log that records a plurality of details that are execution information of each of the events belonging to a work process, and based on a first signal obtained from the user, the event log Each attribute is specified in the plurality of details recorded in the output, and determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on the second signal obtained from the user, and adding the at least one data analysis algorithm to the data set , and outputting a first diagram indicating a result of applying the at least one or more data analysis algorithms.

Here, the properties of each of the plurality of details of the event log include a case ID indicating a case that is an object of the process, an activity indicating an activity performed by the object of the process, and the activity It may be at least one of a time stamp indicating a start time and an end time of , and performer information indicating a subject who performed the activity.

Here, the at least one command generates a filter for detecting a data set satisfying a preset condition among the data sets based on a signal obtained from the user, and uses the filter to satisfy the preset condition Detecting the data set that is, applying the detected data set to the determined at least one or more data analysis algorithms It may be further executed to output by replacing the second diagram.

Here, when generating a filter for detecting the data set, the at least one command obtains information about an activity to be filtered and a task performer information to be filtered from the user, and an activity to be filtered and an activity to be filtered from the user. Obtaining information on one of AND/OR operators to be applied to the task performer, acquiring information on whether the activity to be filtered and the task performer to be filtered is included from the user, and obtaining the activity information and the task from the user and setting the condition of the filter based on performer information, information on one of the operators, and information on whether the activity and the task performer are included.

Here, when generating a filter for detecting the data set, the at least one command obtains time information of the activity to be filtered from the user, obtains period information of the activity to be filtered from the user, and and setting the condition of the filter based on the time information of the activity and the duration information of the activity obtained from the user.

Here, in the case of generating a filter for detecting the data set, the at least one command obtains information on a preceding activity executed first and a subsequent activity executed later in a combination of a plurality of activities to be filtered from the user. and obtain information on the connection relationship between the preceding activity and the succeeding activity from the user, and obtain information on one of AND/OR operators to be applied to the combination of the preceding activity and the succeeding activity according to the connection relationship from the user and obtaining information on whether the combination of the preceding activity and the succeeding activity is included from the user, and the preceding activity information, the succeeding activity information, and connection relationship information between the preceding activity and the succeeding activity obtained from the user; and setting the condition of the filter based on information on one of the operators and information on whether the preceding activity and the succeeding activity are included.

Here, when generating a filter for detecting the data set, the at least one command obtains time information of a case to be filtered from the user, and information on the number of events performed in the case to be filtered from the user. obtaining, obtaining period information of a case to be filtered from the user, and obtaining from the user the time information of the case obtained from the user, information on the number of activities performed in the case, and period information of the case of the filter It may be further executed to set the condition.

According to the present invention, the process mining result output method and apparatus can visually express the process analysis result and display the results, respectively, so that the process analysis result can be intuitively provided to the user.

In addition, the process mining result output method and apparatus filter data according to a condition input by a user, and apply the filtered data to an algorithm to exclude outlier data and analyze the process model.

1 is a block diagram illustrating an apparatus for outputting a process mining result according to an embodiment of the present invention.
2 is a flowchart illustrating a method of outputting a process mining result according to an embodiment of the present invention.
3 is a conceptual diagram illustrating a data set creation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.
4 is a conceptual diagram illustrating a graph generation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.
5 is a conceptual diagram illustrating a dashboard of a user interface for outputting process mining results according to an embodiment of the present invention.
6 is a flowchart illustrating a data filtering step of a method for outputting a process mining result according to an embodiment of the present invention.
7 is a conceptual diagram illustrating a data filter creation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.
8 is a conceptual diagram illustrating an event filter creation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.
9 is a conceptual diagram illustrating a relation filter creation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.
10 is a conceptual diagram illustrating a case filter generation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.
11 is a conceptual diagram illustrating a dashboard after filter application of a user interface for outputting a process mining result according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention.

Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When an element is referred to as being “connected” or “connected” to another element, it is understood that it may be directly connected or connected to the other element, but other elements may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. In describing the present invention, in order to facilitate the overall understanding, the same reference numerals are used for the same components in the drawings, and duplicate descriptions of the same components are omitted.

1 is a block diagram illustrating an apparatus for outputting a process mining result according to an embodiment of the present invention.

Referring to FIG. 1 , the process mining result output apparatus 100 may include at least one processor 110 , a memory 120 , and a transceiver 130 connected to a network to perform communication. Also, the process mining result output device 100 may further include an input interface device 140 , an output interface device 150 , a storage device 160 , and the like. Each of the components included in the process mining result output device 100 may be connected by a bus 170 to communicate with each other.

However, each of the components included in the process mining result output apparatus 100 may be connected through an individual interface or an individual bus centering on the processor 110 instead of the common bus 170 . For example, the processor 110 may be connected to at least one of the memory 120 , the transceiver 130 , the input interface device 140 , the output interface device 150 , and the storage device 160 through a dedicated interface. .

The processor 110 may execute a program command stored in at least one of the memory 120 and the storage device 160 . The processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. Each of the memory 120 and the storage device 160 may be configured of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory 120 may be configured as at least one of a read only memory (ROM) and a random access memory (RAM).

2 is a flowchart illustrating a method of outputting a process mining result according to an embodiment of the present invention.

Referring to FIG. 2 , a method of outputting a process mining result may be divided into seven steps. A processor (eg, a processor included in the apparatus for outputting the process mining result shown in FIG. 1 ) may provide a method of outputting the process mining result by performing the above steps according to an instruction.

The processor may perform step S100 of obtaining a data source including an event log. The data source may include an event log in which performance results of events belonging to the process are recorded while the work process is performed. The event log may include a plurality of details that are information on the execution of individual events belonging to a process. The data source may be recorded in a memory and a storage device of a device for outputting a process mining result, and the processor may obtain the data source from the memory and the storage device.

The event log is related to the case ID, which means the object of the process, the activity constituting the process, the task performer who performed the activity, and the time stamp including the start time and end time of the activity. It may include at least one or more of the details.

According to an embodiment of the present invention, the data source may be stored in the form of a spreadsheet as shown in [Table 1]. In the spreadsheet of the data source, the event log of each event belonging to the process is recorded for each column, and the details of the event log having the same properties may be recorded for each row of the spreadsheet.

Referring to [Table 1], the event log including a plurality of details is recorded in the column of the spreadsheet of the data source. In addition, in the rows of the spreadsheet, the details of the event log with the same properties are recorded. For example, row [1] contains a history with activity attribute, rows [2] and [3] contain a history with timestamp attribute, and row [4] contains a history with task performer attribute. It is recorded.

3 is a conceptual diagram illustrating a data set creation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.

Referring to FIG. 3 , the step ( S200 ) of designating a property in the details of the event log of the data source and the step ( S300 ) of generating the data set may be executed on the data set creation interface.

The processor may perform the step (S200) of designating the attribute in the details of the event log of the data source based on the signal obtained from the user. Attributes of event log details according to an embodiment of the present invention may include a case ID, an activity, a task performer, and a time stamp.

According to an embodiment of the present invention, a description having the same attribute is recorded for each row of the data source, and the processor may designate the attribute of the description to each row of the data source based on a signal obtained from the user. In the data source 301 of FIG. 3, the processor sets the case ID attribute 311 in row [01], the performer 313 in row [02], the activity attribute 312 in column [03], and [04] A step of specifying the attribute in the history of the event log may be performed, such as specifying the timestamp attribute 314 in the ] column. The processor may perform a step (S300) of generating a data set based on the data source for which the attribute is specified.

According to another embodiment of the present invention, the processor may designate a separate attribute 320 in the details of the event log. The processor may obtain, from the user, information about the row 321 of the data source in which the attribute to be additionally specified and information about the attribute name 322 of the attribute to be additionally specified. The processor may assign additional attributes to the data source based on the signal obtained from the user.

4 is a conceptual diagram illustrating a diagram creation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.

Referring to FIG. 4 , the step of applying the algorithm to the data set ( S400 ) may be executed on the diagram generation interface.

The processor may retrieve information from memory and storage about the data analysis algorithm to apply to the data set. The memory and storage may include a plurality of data analysis algorithms. The processor may output each of the plurality of data analysis algorithms by showing 401 in the form of an icon.

The processor may select a data analysis algorithm to be applied from among a plurality of data analysis algorithms based on a signal obtained from the user. The processor may perform a step S400 of applying the selected algorithm to the data set.

5 is a conceptual diagram illustrating a dashboard of a user interface for outputting process mining results according to an embodiment of the present invention.

Referring to FIG. 5 , the processor may output the data analysis result by executing the analysis result output step S500 on the interface, specifically, the dashboard of the interface.

The processor may diagram the data set to which the data analysis algorithm is applied in the form of a diagram. The processor may diagram the data set in the form of bar graphs, line graphs, box plots, spreadsheets, dotted plots, flowcharts, tile charts, process maps, and the like. The processor may perform a step (S500) of outputting a diagram of the analysis result to which the analysis algorithm is applied on the dashboard. A diagram output as a result of the processor performing step S500 is referred to as a first diagram.

The processor may select a plurality of data analysis algorithms from among the data analysis algorithms and apply them to the data set, and may output a plurality of first diagrams generated as a result on the dashboard. A total of four first diagrams are shown in the dashboard of FIG. 5 , a frequency-based map 501 , a dot chart 502 , a work flow 503 , and a time tile 504 .

The processor may change the size of the diagram within the dashboard based on the drag-and-drop signal obtained from the user. The processor may output the diagram in full screen based on the signal obtained from the user. In addition, the processor may change the position of the diagram in the dashboard based on the drag and drop signal obtained from the user.

The processor may output an option window 510 capable of setting a condition to be added in order to schematize the analysis result. When the user sets a condition in the option window 510, the processor may schematically output the algorithm application result based on a signal obtained from the user. Referring to FIG. 5 , the option window 510 may be output on one side of the dashboard.

The condition that can be set in the option window 510 may be at least one of a dimension, a variable type, a variable interval, the number of variables, a sorting criterion, and a sorting order, which is a criterion for analysis. The conditions that can be set in the option window may be different for each algorithm applied for data analysis.

6 is a flowchart illustrating a data filtering step ( S600 ) of a method for outputting a process mining result according to an embodiment of the present invention, and FIG. 7 is a user interface for outputting a process mining result according to an embodiment of the present invention. It is a conceptual diagram showing the data filter creation interface of

6 and 7 , the processor may generate a filter for detecting a data set satisfying a preset condition among data sets based on a signal obtained from a user ( S610 ).

The processor may generate a specific filter from among a plurality of preset filters based on a signal obtained from the user.

According to an embodiment of the present invention, a plurality of preset filters include an event filter 711 including or excluding a specific event, a relationship filter 712 including or excluding a relationship between a preceding activity and a succeeding activity, and information on cases. A case filter 713 for extracting a data set as a criterion may be included. The processor may generate one filter to be applied to the data set among a plurality of preset filters based on the signal obtained from the user.

The processor may set conditions to be applied to the data sets based on information obtained from the user. Conditions set in the filter may be different for each type of filter.

The filter according to an embodiment of the present invention may set a condition regarding a specific event to be included or excluded from the data set based on information obtained from the user.

8 is a conceptual diagram illustrating an event data filter creation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.

Referring to FIG. 8 , the processor may create an event filter as follows.

The processor may obtain a signal including information about the condition of the event filter from the user while performing the data filter generation step ( S610 ).

The processor may obtain a signal including information about the condition of the filter from the user. According to an embodiment of the present invention, the processor may obtain information about the activity 811 and the task performer 812 from the user. The processor may select an activity 811 and a task performer 812 to be detected from among the activities and task performers recorded in the data set based on the signal obtained from the user.

The processor may obtain a signal including information on one of the operators 813 to be applied to the activity and the task performer condition from the user. According to an embodiment of the present invention, the user may select either "AND" or "OR" as the operator 813 to be applied to the condition. When the user selects the "AND" operator, the processor can detect a data set that includes both activity and performer conditions. When the user selects the "OR" operator, the processor may detect a data set satisfying at least one of the conditions.

The processor may obtain a signal including information about whether the activity and the task performer condition are included (814) from the user. According to an embodiment of the present invention, the user may select one of “included” or “not included” with respect to whether or not the condition is included ( 814 ). If the user selects "include" in the inclusion or not, the processor may include and detect a data set that matches the activity and task performer conditions according to the signal. If the user selects "not included", the processor can exclude and detect data sets that match the condition.

The processor may obtain a signal including information regarding the additional condition from the user.

The processor may obtain a signal including information about the activity and the location condition 821 of the task performer from the user. According to an embodiment of the present invention, the user may select one of “not selected”, “started” and “end” with respect to the location condition 821 of the activity and task performer.

If the user selects "not selected" in the location condition, the processor may not add the location condition.

When the user selects "start", the processor may detect a data set starting with an activity selected by the user or an activity by the performer of the selected task. For example, if the user sets activity A performed by X as a condition and selects "start", the processor may detect a data set including a process starting with activity A performed by X.

When the user selects "End", the processor may detect a data set that ends with an activity selected by the user or an activity by a selected task performer. For example, if the user sets activity A performed by X as a condition and selects "end", the processor may detect a data set including a process ending with activity A performed by X.

The processor may acquire information about one of "not selected", "execution time", "work time", and "waiting time" 831 with respect to a time condition to be detected. When the user selects "execution time", the processor may detect a data set based on the time elapsed from the total start time to the end time of the activity. If the user selects "work time", the processor may detect a data set based on the actual work time of the activity. When the user selects "waiting time", the processor may detect the data set based on the waiting time excluding the actual work time from the execution time of the activity.

In addition, the processor may obtain a signal including information about the time 832 spent on the activity. According to an embodiment of the present invention, the processor may obtain information about a time range to be detected with respect to a time condition.

For example, if the user sets the range of time 832 to be detected as 1 hour or more and 2 hours or less and selects the execution time as the time condition 831, the processor determines that the execution time of the activity is 1 hour or more and 2 hours or less. data sets can be detected.

The processor may obtain a signal from the user regarding a period in which the activity occurred. According to an embodiment of the present invention, the processor may obtain signals regarding the start time 841 and the end time 842 of the activity. The user may select one of "with time zone", "time zone start", "within time zone" and "time zone end" 843 for the duration condition.

If the user selects "include time zone" as the duration condition, the processor may detect a data set that includes activities spanning the set time zone. For example, if the user sets the period that the user wants to detect from 12:00 on 2018-01-01 to 21:00 on 2018-09-15, and selects "Including time zone", the processor starts or ends the activity's start time or end time. It can be detected except for data sets that are after 21:00 on 2018-09-15 and before 12:00 on 2018-01-01.

If the user selects "start time zone" as the period condition, the processor may detect a data set including activities having a start time within the set time zone. For example, if the user sets the period to be detected from 2018-01-01 12:00 to 2018-09-15 21:00 and selects "Time Zone Start", the processor determines that the activity's start time is 2018- A data set from 12:00 on 01-01 to 21:00 on 2018-09-15 can be detected.

When the user selects “within time zone” as the period condition, the processor may detect a data set including activities having a start time and an end time within the set time zone. For example, if the user sets the period that the user wants to detect from 12:00 on 2018-01-01 to 21:00 on 2018-09-15, and selects "Include time zone", the processor starts and ends the activity's start time and end time. It is possible to detect the data set from 12:00 on 2018-01-01 to 21:00 on 2018-09-15.

If the user selects "time zone end" as the period condition, the processor may detect a data set including activities having an end time within the set time zone. For example, if the user sets the period that the user wants to detect from 12:00 on 2018-01-01 to 21:00 on 2018-09-15 and selects "Including time zone", the processor determines that the end time of the activity is 2018- A data set from 12:00 on 01-01 to 21:00 on 2018-09-15 can be detected.

9 is a conceptual diagram illustrating a relation filter creation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.

Referring to FIG. 9 , the processor may create a relation filter as follows.

The processor may obtain a signal including information about the condition of the relation filter from the user while performing the data filter generation step ( S610 ).

The processor according to another embodiment of the present invention may set a filter condition for a combination of activities to be included or excluded from the data set based on information obtained from the user. Specifically, in the combination of activities, the processor may set a condition regarding a relationship between a preceding activity executed first and a subsequent activity executed after the preceding activity.

The processor may obtain a signal including information about the preceding activity 901 and the succeeding activity 902 from the user. The preceding activity 901 and the succeeding activity 902 may be a plurality of activities, and the relationship between the preceding activity and the succeeding activity may be formed by a combination of the plurality of preceding and succeeding activities.

The processor may obtain, from the user, a signal including information about the relationship 903 between the preceding activity and the succeeding activity. According to an embodiment of the present invention, the user may select one of “DIRECT”, “INDIRECT” and “ANY” with respect to the relationship 903 between the preceding activity and the succeeding activity.

When the user selects "DIRECT" in relation to the preceding and succeeding activities, the processor may detect a data set in which the preceding and succeeding activities are directly connected. For example, if the user sets the preceding activity to A and the succeeding activity to B, and selects “DIRECT”, the processor may detect a data set including processes including “A-B”.

When the user selects "INDIRECT" in relation to the preceding and succeeding activities, the processor may detect a data set in which the preceding and succeeding activities are indirectly connected. For example, if the user sets the preceding activity to A and the succeeding activity to B, and selects "INDIRECT", the processor will process set can be detected.

When the user selects "ANY" in the relationship between the preceding and succeeding activities, the processor may detect a data set in which the preceding activity and the succeeding activity are directly or indirectly connected. For example, if the user sets the preceding activity to A and the succeeding activity to B, and selects “ANY”, the processor will display A and B directly or indirectly, such as “A-B”, “A-C-B”, “A-D-B”. Data sets containing connected processes can be detected.

The processor may obtain, from the user, a signal including information of one of the operators 904 to be applied to the combination of the preceding activity and the succeeding activity. The user may select either “AND” or “OR” as the operator 904 to be applied to the combination.

If the user selects the "AND" operator, the processor may detect a data set that includes both a combination of a preceding activity and a succeeding activity. For example, if the user sets the predecessor activity to A and B, the successor activity to C, and the linkage to "Direct", and selects "AND", the processor will retrieve both data "A-C", "B-C" It is possible to detect a data set containing

When the user selects the "OR" operator, the processor may detect a data set including at least one of a combination of a preceding activity and a succeeding activity. For example, if the user sets the preceding activity to A, B, the succeeding activity to C, and the linkage to "Direct", and selects "OR", the processor will A data set containing one can be detected.

The processor may obtain, from the user, a signal including information on whether the combination of the preceding activity and the following activity is included ( 905 ). The user may select either “included” or “not included” with respect to whether the condition is included ( 905 ). When the user selects "include" in the inclusion or not, the processor may detect a data set including a combination of the preceding activity and the following activity according to the signal. If the user selects “not included,” the processor may detect a data set that does not include a combination of preceding and succeeding activities.

10 is a conceptual diagram illustrating a case filter generation interface of a user interface for outputting a process mining result according to an embodiment of the present invention.

Referring to FIG. 10 , the processor may generate a case filter as follows.

The processor may obtain a signal including information about the condition of the case filter from the user while performing the data filter generation step ( S610 ).

A filter according to another embodiment of the present invention may set a condition related to a case from a user.

The processor may obtain a signal including information about the case ID 1010 to be detected from the user.

The processor may acquire information about one 1021 of "no selection", "execution time", "work time" and "waiting time" with respect to the time condition of the case to be detected. When the user selects "execution time", the processor may detect the data set based on the time elapsed from the total start time to the end time of the case. If the user selects "working time", the processor may detect the data set based on the actual working time of the case. When the user selects "waiting time", the processor may detect the data set based on the waiting time excluding the actual work time from the execution time of the case.

The processor may obtain a signal including information 1022 about the time spent on the case. According to an embodiment of the present invention, the processor may obtain information about a time range to be detected with respect to the time condition of the case.

For example, if the user sets the range of time to be detected as 1 hour or more and 2 hours or less and selects the execution time as the time condition, the processor can detect a data set in which the execution time of a case is 1 hour or more and 2 hours or less. there is.

The processor may obtain a signal including information about the number of events 1031 constituting the case from the user. According to an embodiment of the present invention, the processor may obtain a signal regarding the minimum number of events and the maximum number of events to be included in the process. As a result, the processor can detect a data set about the case that includes the number of events falling within the range.

The processor may obtain from the user a signal comprising information regarding a period in which the case occurred. According to an embodiment of the present invention, the processor may obtain signals regarding the start time 1041 and the end time 1042 of the period to be detected from the user. The user may select ( 1043 ) one of “with time zone”, “time zone start”, “within time zone” and “time zone end” with respect to the period condition.

If the user selects "include time zone" as the period condition, the processor may detect a data set including cases spanning the set time zone. For example, if the user sets the period that the user wants to detect from 12:00 on 2018-01-01 to 21:00 on 2018-09-15 and selects "Including time zone", the processor will display the start time or end time of the case. It can be detected except for data sets that are after 21:00 on 2018-09-15 and before 12:00 on 2018-01-01.

When the user selects “start time zone” as the period condition, the processor may detect a data set including cases having a start time within the set time zone. For example, if the user sets the period that the user wants to detect from 12:00 on 2018-01-01 to 21:00 on 2018-09-15, and selects "Time Zone Start", the processor determines that the start time of the case is 2018- A data set from 12:00 on 01-01 to 21:00 on 2018-09-15 can be detected.

When the user selects “within the time zone” as the period condition, the processor may detect a data set including cases having a start time and an end time within the set time zone. For example, if the user sets the period that the user wants to detect from 12:00 on 2018-01-01 to 21:00 on 2018-09-15, and selects "Including time zone", the processor sets the start time and end time of the case. It is possible to detect the data set from 12:00 on 2018-01-01 to 21:00 on 2018-09-15.

If the user selects "time zone end" as the period condition, the processor may detect a data set including cases having an end time within the set time zone. For example, if the user sets the period that the user wants to detect from 12:00 on 2018-01-01 to 21:00 on 2018-09-15 and selects "Time Zone End", the processor sets the end time of the case to 2018- A data set from 12:00 on 01-01 to 21:00 on 2018-09-15 can be detected.

In the step of generating the filter based on the signal obtained from the user, the processor may generate specific filters from among a plurality of preset filters. According to an embodiment of the present invention, the filter may generate two or more filters among an event filter, a relation filter, and a case filter. The processor may combine two or more filters to detect a data set that satisfies both conditions of the two or more filters.

The processor may perform a data set detection step S620 of detecting a data set matching a preset condition obtained in the data filter generating step S610 from among the existing data sets.

The processor may perform step S630 of applying the detected data set to at least one data analysis algorithm as a result of performing step S620. More specifically, the processor may apply the data set detected by the filter to at least one algorithm determined as a result of performing S400 among a plurality of algorithms.

11 is a conceptual diagram illustrating a dashboard after filter application of a user interface for outputting a process mining result according to an embodiment of the present invention.

Referring to FIG. 11 , the processor may perform an analysis result output step S640 after data filtering based on an analysis result obtained as a result of performing step S630 as follows. A diagram output as a result of the processor performing step S640 is referred to as a second diagram.

The processor may perform data analysis by applying the data analysis algorithm applied before applying the data filter to the data set obtained as a result of data filtering, and may show the same type of diagram. In more detail, the processor may replace the first diagram indicating the result before data filtering is applied with the second diagram indicating the result after data filtering is applied and output. For example, when the first diagram shown on the dashboard of FIG. 5 is a frequency-based map 501, a dot chart 502, a work flow 503, and a time tile 504, the dashboard of FIG. The second diagram of the output data analysis result may also be illustrated as a frequency-based map 1101 , a dot chart 1102 , a work flow 1103 , and a time tile 1104 which are diagrams of the same type.

The processor may perform a step of displaying the filter generated as a result of performing step S600 on the dashboard. The processor may output the generated filter 1111 at the bottom of the dashboard.

As a result of performing step S600, the processor may perform an operation of displaying the ratio of the data set remaining as a result of data filtering among the entire data set. The method of displaying the ratio of the data set may be a method of expressing the ratio of the remaining data set among the entire data set as a percentage. In addition, the method of displaying the ratio of the data set may be a method of expressing the ratio of the remaining data set among the entire data set in the form of a bar graph. The processor may output a percentage and bar graph 1112 at the bottom of the dashboard.

The methods according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the computer-readable medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software.

Examples of computer-readable media include hardware devices specially configured to store and carry out program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as at least one software module to perform the operations of the present invention, and vice versa.

Although it has been described with reference to the above embodiments, it will be understood by those skilled in the art that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. will be able

Claims (16)

A method of outputting a process mining result performed in a data processing device, the method comprising:
acquiring a data source including an event log in which a plurality of details that are execution information of each of events belonging to a work process are recorded;
assigning each attribute to the plurality of details recorded in the event log based on a first signal obtained from a user;
generating a data set based on the data source including the event log to which the attribute is specified;
outputting each of a plurality of preset data analysis algorithms in the form of icons;
determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on a second signal obtained from the user;
applying the at least one data analysis algorithm to the data set;
generating a first diagram representing a result of applying the at least one data analysis algorithm;
generating a filter for detecting a data set satisfying a preset condition among the data sets based on the signal obtained from the user;
detecting the data set satisfying the preset condition using the filter; and
generating a second diagram representing a result of applying the detected data set to the determined at least one or more data analysis algorithms, replacing the first diagram, and outputting the second diagram;
The preset condition is
The method for outputting a process mining result, characterized in that it is set in consideration of activity information obtained from the user, task performer information, one of AND/OR operators to be applied to the task performer, and information on whether the activity and task performer are included. The method according to claim 1,
The properties of each of the plurality of details of the event log are,
A case ID indicating a Case that is an object of the process, the Activity indicating an activity performed by the object of the process, and a timestamp indicating the start time and end time of the activity stamp), and a method for outputting a process mining result, characterized in that it is at least one of the work performer information indicating the subject who performed the activity. delete The method according to claim 1,
Creating a filter for detecting the data set comprises:
obtaining, from the user, the activity information to be filtered and the task performer information to be filtered;
obtaining, from the user, information on one of the activity to be filtered and the AND/OR operator to be applied to the task performer to be filtered;
obtaining, from the user, the activity to be filtered and the inclusion information of the task performer to be filtered; and
Process mining including; setting the condition of the filter based on the activity information obtained from the user, the task performer information, one of the operators, and the inclusion information of the activity and the task performer How to print the result. 5. The method according to claim 4,
Creating a filter for detecting the data set comprises:
obtaining time information of the activity to be filtered from the user;
obtaining period information of the activity to be filtered from the user; and
Setting the condition of the filter based on the time information of the activity and the duration information of the activity obtained from the user; the method of outputting a process mining result further comprising a. A method of outputting a process mining result performed in a data processing device, the method comprising:
acquiring a data source including an event log in which a plurality of details that are execution information of each of events belonging to a work process are recorded;
assigning each attribute to the plurality of details recorded in the event log based on a first signal obtained from a user;
generating a data set based on the data source including the event log to which the attribute is specified;
outputting each of a plurality of preset data analysis algorithms in the form of icons;
determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on a second signal obtained from the user;
applying the at least one data analysis algorithm to the data set;
generating a first diagram representing a result of applying the at least one data analysis algorithm;
generating a filter for detecting a data set satisfying a preset condition among the data sets based on the signal obtained from the user;
detecting the data set satisfying the preset condition using the filter; and
generating a second diagram representing a result of applying the detected data set to the determined at least one or more data analysis algorithms and replacing the first diagram and outputting it;
The preset condition is AND to be applied to the combination of the preceding activity information, the succeeding activity information, the connection relationship information between the preceding activity and the succeeding activity, and the preceding activity and the succeeding activity obtained from the user in a combination of a plurality of activities A method for outputting a process mining result, characterized in that it is set in consideration of one of the /OR operators and information on whether the preceding activity and the succeeding activity are included. A method of outputting a process mining result performed in a data processing device, the method comprising:
acquiring a data source including an event log in which a plurality of details that are execution information of each of events belonging to a work process are recorded;
assigning each attribute to the plurality of details recorded in the event log based on a first signal obtained from a user;
generating a data set based on the data source including the event log to which the attribute is specified;
outputting each of a plurality of preset data analysis algorithms in the form of icons;
determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on a second signal obtained from the user;
applying the at least one data analysis algorithm to the data set;
generating a first diagram representing a result of applying the at least one data analysis algorithm;
generating a filter for detecting a data set satisfying a preset condition among the data sets based on the signal obtained from the user;
detecting the data set satisfying the preset condition using the filter; and
generating a second diagram representing a result of applying the detected data set to the determined at least one or more data analysis algorithms and replacing the first diagram and outputting it;
The preset condition is
The method for outputting a process mining result, characterized in that it is set in consideration of time information of the case obtained from the user, information on the number of events performed in the case, and period information of the case. A method of outputting a process mining result performed in a data processing device, the method comprising:
acquiring a data source including an event log in which a plurality of details that are execution information of each of events belonging to a work process are recorded;
assigning each attribute to the plurality of details recorded in the event log based on a first signal obtained from a user;
generating a data set based on the data source including the event log to which the attribute is specified;
outputting each of a plurality of preset data analysis algorithms in the form of icons;
determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on a second signal obtained from the user;
applying the at least one data analysis algorithm to the data set;
generating a first diagram representing a result of applying the at least one data analysis algorithm;
generating a filter for detecting a data set satisfying a preset condition among the data sets based on the signal obtained from the user;
detecting the data set satisfying the preset condition using the filter; and
generating a second diagram representing a result of applying the detected data set to the determined at least one or more data analysis algorithms and replacing the first diagram and outputting it;
Creating the filter comprises:
Create filters based on the signal obtained from the user among a plurality of preset filters,
The step of filtering the data of the data set is a method of outputting a mining result of a process of filtering data by combining the generated filters. A method of outputting a process mining result performed in a data processing device, the method comprising:
acquiring a data source including an event log in which a plurality of details that are execution information of each of events belonging to a work process are recorded;
assigning each attribute to the plurality of details recorded in the event log based on a first signal obtained from a user;
generating a data set based on the data source including the event log to which the attribute is specified;
outputting each of a plurality of preset data analysis algorithms in the form of icons;
determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on a second signal obtained from the user;
applying the at least one data analysis algorithm to the data set;
generating a first diagram representing a result of applying the at least one data analysis algorithm;
generating a filter for detecting a data set satisfying a preset condition among the data sets based on the signal obtained from the user;
detecting the data set satisfying the preset condition using the filter; and
generating a second diagram representing a result of applying the detected data set to the determined at least one or more data analysis algorithms, replacing the first diagram, and outputting the second diagram;
The method of outputting the process mining result is,
displaying the created filter; and
Displaying the ratio of unfiltered data among the entire data set; Method of outputting a process mining result further comprising a. In the device for outputting process mining results,
processor;
At least one instruction to be executed through the processor comprises a stored memory (memory),
The at least one command is
Obtaining a data source including an event log (event log) that records a plurality of details that are execution information of each of the events belonging to the work process (process),
Designating each attribute to the plurality of details recorded in the event log based on the first signal obtained from the user,
generating a data set based on the data source including the event log to which the attribute is specified;
Each of a plurality of preset data analysis algorithms is output in the form of an icon,
determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on the second signal obtained from the user;
applying the at least one data analysis algorithm to the data set;
is executed to generate a first diagram representing a result of applying the at least one or more data analysis algorithms,
generating a filter for detecting a data set satisfying a preset condition among the data sets based on the signal obtained from the user;
detecting the data set that meets the preset condition using the filter, and
It is executed to generate a second diagram indicating a result of applying the detected data set to the determined at least one or more data analysis algorithms, and to replace and output the first diagram,
The preset condition is
An apparatus for outputting a process mining result, characterized in that it is set in consideration of activity information obtained from the user, task performer information, one of AND/OR operators to be applied to the task performer, and information on whether the activity and task performer are included. 11. The method of claim 10,
The properties of each of the plurality of details of the event log are,
A case ID indicating a Case that is an object of the process, the Activity indicating an activity performed by the object of the process, and a timestamp indicating the start time and end time of the activity stamp), and an apparatus for outputting a process mining result, characterized in that it is at least one of the work performer information indicating the subject who performed the activity. delete 11. The method of claim 10,
When generating a filter for detecting the data set, the at least one instruction comprises:
Obtaining the activity to be filtered and the task performer information to be filtered from the user,
obtaining information on one of the AND/OR operators to be applied to the activity to be filtered and the task performer to be filtered from the user;
obtaining the activity to be filtered and the inclusion information of the task performer to be filtered from the user, and
A process mining result further executed to set the condition of the filter based on the activity information obtained from the user, the task performer information, one of the operators, and the inclusion information of the activity and the task performer output device. 14. The method of claim 13,
When generating a filter for detecting the data set, the at least one instruction comprises:
Obtaining time information of the activity to be filtered from the user,
obtaining period information of the activity to be filtered from the user, and
The apparatus for outputting a process mining result further executed to set the condition of the filter based on the time information of the activity and the duration information of the activity obtained from the user. In the device for outputting process mining results,
processor;
At least one instruction to be executed through the processor comprises a stored memory (memory),
The at least one command is
Obtaining a data source including an event log (event log) that records a plurality of details that are execution information of each of the events belonging to the work process (process),
Designating each attribute to the plurality of details recorded in the event log based on the first signal obtained from the user,
generating a data set based on the data source including the event log to which the attribute is specified;
Each of a plurality of preset data analysis algorithms is output in the form of an icon,
determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on the second signal obtained from the user;
applying the at least one data analysis algorithm to the data set, and
is executed to generate a first diagram representing a result of applying the at least one or more data analysis algorithms,
generating a filter for detecting a data set satisfying a preset condition among the data sets based on the signal obtained from the user;
detecting the data set that meets the preset condition using the filter, and
It is executed to generate a second diagram indicating a result of applying the detected data set to the determined at least one or more data analysis algorithms, and to replace and output the first diagram,
The preset condition is
One of the AND/OR operators to be applied to the combination of preceding activity information, succeeding activity information, connection relationship information between the preceding activity and the succeeding activity obtained from the user in a combination of a plurality of activities, and the preceding activity and the succeeding activity An apparatus for outputting a process mining result, characterized in that it is set in consideration of information on , and information on whether the preceding activity and the succeeding activity are included. In the device for outputting process mining results,
processor;
At least one instruction to be executed through the processor comprises a stored memory (memory),
The at least one command is
Obtaining a data source including an event log (event log) that records a plurality of details that are execution information of each of the events belonging to the work process (process),
Designating each attribute to the plurality of details recorded in the event log based on the first signal obtained from the user,
generating a data set based on the data source including the event log to which the attribute is specified;
Each of a plurality of preset data analysis algorithms is output in the form of an icon,
determining at least one data analysis algorithm applied to the data set from among the plurality of data analysis algorithms based on the second signal obtained from the user;
applying the at least one data analysis algorithm to the data set, and
is executed to generate a first diagram representing a result of applying the at least one or more data analysis algorithms,
generating a filter for detecting a data set satisfying a preset condition among the data sets based on the signal obtained from the user;
detecting the data set that meets the preset condition using the filter, and
It is executed to generate a second diagram indicating a result of applying the detected data set to the determined at least one or more data analysis algorithms, and to replace and output the first diagram,
The preset condition is
The apparatus for outputting a process mining result, characterized in that it is set in consideration of time information of the case obtained from the user, information on the number of events performed in the case, and period information of the case.

Images