CN101702152A - Intelligent data processing method, device and system - Google Patents
Intelligent data processing method, device and system Download PDFInfo
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- CN101702152A CN101702152A CN200910110265A CN200910110265A CN101702152A CN 101702152 A CN101702152 A CN 101702152A CN 200910110265 A CN200910110265 A CN 200910110265A CN 200910110265 A CN200910110265 A CN 200910110265A CN 101702152 A CN101702152 A CN 101702152A
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Abstract
The embodiment of the invention discloses an intelligent data processing method, a device and a system thereof. A rule table is configured in advance, which contains data table name, field name and field value parameters. The method comprises: obtaining a data table having identical name with the data table name; reading a field value corresponding to the field name from the obtained data table; analyzing whether the attribute of identical field value in the field values is matched with the field value parameters, if yes, taking the identical field value as the default option of the field corresponding to the field name. By applying the embodiment of the application, as for the field needing inputting information manually in the data table, when the field value of the field is matched with the preset field value parameters, the field value of the field can automatically become the default option of the field, afterwards the field value needs not filling by a user manually, thus improving user experience.
Description
Technical field
The application relates to technical field of data processing, relates in particular to a kind of intelligent data processing method, Apparatus and system.
Background technology
The user carries out identity registration in access websites, when perhaps hunting for a job, often need fill in the personal information table on the net, the user is made and exported to the personal information table by the mechanism that needs user profile, some field in the personal information table needs the manual input information of user, and some field needs the user to select according to the option that provides.
The inventor is in research and practice process to prior art, find to have following problem in the prior art: in tables of data, field for the manual input information of needs, when most of input information of this field correspondence is several information of fixing, then because the user will spell input each time, complex operation has reduced user experience; The field of selecting according to the option that provides for needs, because the option that provides is basis several options of designs fix in advance, if the information that does not have the user to need in the option, then the user still needs hand filling, when fixing option no longer satisfies user's needs, perhaps option has not been the option that the user may often select, then because the static state setting of option can reduce user experience equally.
Summary of the invention
The purpose of the embodiment of the present application provides a kind of intelligent data processing method, Apparatus and system, and is dumb with some field value input in the solution available data table, causes the not high problem of user experience.
For solving the problems of the technologies described above, the embodiment of the present application provides a kind of intelligent data processing method, is achieved in that
A kind of intelligent data processing method, pre-configured rule list comprises tables of data title, field name and field value parameter in the described rule list, comprising:
Obtain and the consistent tables of data of described tables of data title;
From the described tables of data of obtaining, read the field value corresponding with described field name;
The attribute of analyzing same word segment value in the described field value whether with described field value parameter matching, if coupling, then with the default option of described same word segment value as described field name institute corresponding field.
For solving the problems of the technologies described above, the embodiment of the present application also provides a kind of data intelligence treating apparatus, is achieved in that
A kind of data intelligence treating apparatus comprises:
Dispensing unit is used for pre-configured rule list, comprises tables of data title, field name and field value parameter in the described rule list;
Acquiring unit is used to obtain and the consistent tables of data of described tables of data title;
Reading unit is used for reading the field value corresponding with described field name from the described tables of data of obtaining;
Analytic unit, the attribute that is used for analyzing described field value same word segment value whether with described field value parameter matching;
Performance element is if the analysis result that is used for described analytic unit is coupling, then with the default option of described same word segment value as described field name institute corresponding field.
For solving the problems of the technologies described above, the embodiment of the present application also provides a kind of data intelligence disposal system, is achieved in that
A kind of data intelligence disposal system comprises: configuration platform and the data processing platform (DPP) that links to each other with described configuration platform,
Described configuration platform is used for the configuration rule table, comprises tables of data title, field name and field value parameter in the described rule list;
Described data processing platform (DPP), be used to obtain and the consistent tables of data of described tables of data title, from the described tables of data of obtaining, read the field value corresponding with described field name, the attribute of analyzing same word segment value in the described field value whether with described field value parameter matching, if coupling is then with the default option of described same word segment value as described field name institute corresponding field.
As seen, the pre-configured rule list that comprises tables of data title, field name and field value parameter in the embodiment of the present application, obtain the tables of data consistent with the tables of data title, from the tables of data of obtaining, read the field value corresponding with described field name, the attribute of analyzing same word segment value in the described field value whether with described field value parameter matching, if coupling is then with the default option of described same word segment value as described field name institute corresponding field.Use the embodiment of the present application, the field that needs manual input information for tables of data, after the default field value parameter of the field value coupling of this field, the field value of this coupling just can become the default option value of this field automatically, follow-up for this field value, then need not the user and manually fill in, therefore improved user experience; And, can be provided with as required owing to be used for the allocation list of matching field value parameter, therefore improved processing dirigibility to data in the tables of data.
Description of drawings
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, the accompanying drawing that describes below only is some embodiment that put down in writing among the application, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the first embodiment process flow diagram of the application's intelligent data processing method;
Fig. 2 is the second embodiment process flow diagram of the application's intelligent data processing method;
Fig. 3 is the first embodiment block diagram of the application's data intelligence treating apparatus;
Fig. 4 is the second embodiment block diagram of the application's data intelligence treating apparatus;
Fig. 5 is the embodiment block diagram of the application's data intelligence disposal system.
Embodiment
The embodiment of the present application provides a kind of intelligent data processing method, Apparatus and system, the pre-configured rule list that comprises tables of data title, field name and field value parameter, obtain the tables of data consistent with the tables of data title, from the tables of data of obtaining, read the field value corresponding with described field name, the attribute of analyzing same word segment value in the described field value whether with described field value parameter matching, if coupling is then with the default option of described same word segment value as described field name institute corresponding field.
In order to make those skilled in the art person understand technical scheme in the embodiment of the present application better, and the above-mentioned purpose of the embodiment of the present application, feature and advantage can be become apparent more, below in conjunction with accompanying drawing technical scheme in the embodiment of the present application is described in further detail.
Referring to Fig. 1, be the first embodiment process flow diagram of the application's intelligent data processing method:
Step 101: the pre-configured rule list that comprises tables of data title, field name and field value parameter.
Wherein, the tables of data title is exactly the ID of the tables of data that will add up, and field name is exactly the ID that needs the field of adding up in the tables of data, and the field value parameter can comprise: the number of times that same field value is transfused to, and/or the frequency that is transfused to of same field value.
Step 102: obtain and the consistent tables of data of tables of data title that disposes.
Step 103: from the tables of data of obtaining, read the field value corresponding with the configuration field title.
Step 104: the attribute of analyzing same word segment value in the described field value whether with the field value parameter matching of configuration, if coupling, then execution in step 105; Otherwise, finish current flow process.
Concrete, can add up number of times and/or frequency that the same word segment value of content unanimity in the described field value is transfused to, and judge whether described number of times and/or frequency satisfy number of times and/or the frequency that disposes in the described field value parameter.
Step 105:, finish current flow process with the default option of this same word segment value as this field name institute corresponding field.
The foregoing description needs the field of manual input information for tables of data, after the default field value parameter of the field value coupling of this field, the field value of this coupling just can become the default option value of this field automatically, follow-up for this field value, then need not the user and manually fill in, therefore improved user experience.
Referring to Fig. 2, be the second embodiment process flow diagram of the application's intelligent data processing method, this embodiment shows when the field value parameter is number of times, the process that tables of data is handled:
Step 201: the pre-configured rule list that comprises tables of data title, field name and field value parameter, and set in advance the T/A that is used to obtain described tables of data.
Step 202: obtain and the consistent tables of data of tables of data title that disposes according to the T/A that is provided with.
Step 203: from the tables of data of obtaining, read the field value corresponding with the field name that disposes.
Step 204: the number of times that the same word segment value of content unanimity is transfused in the static fields value.
Step 205: whether the number of times of judging statistics satisfies the number of times that disposes in the field value parameter, if then execution in step 206; Otherwise, execution in step 207.
Step 206:, finish current flow process with the default option of this same word segment value as this field name institute corresponding field.
Step 207: judge whether this same word segment value has been the default option of this field name institute corresponding field, if then execution in step 208; Otherwise, finish current flow process.
Step 208: this same word segment value is deleted from default option, finished current flow process.
The foregoing description needs the field of manual input information for tables of data, after the default field value parameter of the field value coupling of this field, the field value of this coupling just can become the default option value of this field automatically, follow-up for this field value, then need not the user and manually fill in, therefore improved user experience; And, can be provided with as required owing to be used for the allocation list of matching field value parameter, therefore improved processing dirigibility to data in the tables of data; Further,,, then can delete, so that tables of data can be carried out the dynamic structure of Field Options according to analysis result it if its attribute does not meet the field value parameter in the allocation list for the field value that generates default option.
Below in conjunction with above-mentioned the embodiment of the present application, be example with the age field of handling in worker's information table, DETAILED DESCRIPTION The present application data intelligence processing procedure:
Suppose in worker's information table, age field for the worker, originally not default option is not held office and is selected when the worker fills in, and in order to reduce the complex operation that the worker imports the age by hand, a rule list can be set in database in advance, be used for the statistics by the age field value of information table that the worker has been filled in, to the age value option that the age field in worker's information table generates automatically, the worker that holds office is follow-up to select required option to get final product when filling in.
In database, set in advance rule list, being provided with of this rule list can be referring to as shown in table 1 below, at least comprised tables of data title (FTableName) " worker's information table " in this rule list, the field name of adding up (FFieldName) " age ", and field value parameter (FDefaultNumber) " number of times of input " and field value parameter (FDefaultFrequency) " frequency of input ":
| Sequence number | Field name | The row name | Remarks |
| 1 | FTableName | Worker's information table | The tables of data of field value parameter correspondence |
| 2 | FFieldName | Age | The field of field value parameter correspondence |
| 3 | FDefaultNumber | The number of times of input | Field value can become the number of times that default option must be imported.Such as 100 times |
| 4 | FDefaultFrequency | The frequency of input | Field value can become the frequency that default option must be imported.Such as DECIMAL (10,2), wherein the radix point left side of " 10 " expression institute calculated rate value and the right numeral sum mostly are 10 most |
| Individual, do not comprise radix point; Decimal digits or digital number that " 2 " expression can be put into radix point the right are 2.For example: 12345678.91 |
Table 1
Show simultaneously in the last table 1 number of times of input and the requirement of the frequency of input, in the practical application in rule list is set, can only select one of them field parameter value to be provided with, perhaps select other field value parameter except that the frequency of number of times of importing and input to be provided with as required, this embodiment of the present application is not limited.In addition, the field parameter value in this rule list also can be by configuration platform to its operation of making amendment, adding or delete.
Suppose the timing statistics of worker's information table is on every Fridays 23:59 branch, and need all the worker's information tables in the staqtistical data base, the 23:59 that then works as Friday divides this constantly, obtain all worker's information tables of having filled in of preserving in the database, setting according to rule list, read the age field in worker's information table, if age field is not provided with any default option value before, all age field values that then will read are analyzed, the result of what-if has surpassed 100 times that are provided with in the rule list for the number of times of filling at " 28 " and " 32 " these two ages, then with the default option of these two age value as age field, when follow-up worker fills in worker's information table, it is selective that then the age field of Shu Chu worker's information table can dynamically construct above-mentioned two age options, certainly still keep the manually part at input age because be not age of all workers all be " 28 " and " 32 "; If be provided with the default option value in the age field before, for example, be " 30 ", then according to the result of above-mentioned analysis, because age value " 30 " does not meet the field parameter value " 100 times " that disposes in the rule list, then that " 30 " are corresponding default option deletion is added " 28 " and " 32 " simultaneously as default option.
In addition, can in rule list, be provided with flexibly a plurality of fields in the several data table are carried out analytic statistics, for example, in above-mentioned worker's information table, the parameter value of fields such as sex field, hobby field can also be set simultaneously, can be successively when analyzing the field value of the field of each configuration be added up, and exported the default option value of different field according to the result of statistics.
Corresponding with the embodiment of the application's intelligent data processing method, the application also provides the embodiment of data intelligence treating apparatus and system.
Referring to Fig. 3, be the first embodiment block diagram of the application's data intelligence treating apparatus:
This data intelligence treating apparatus comprises: dispensing unit 310, acquiring unit 320, reading unit 330, analytic unit 340 and performance element 350.
Wherein, dispensing unit 310 is used for pre-configured rule list, comprises tables of data title, field name and field value parameter in the described rule list;
Acquiring unit 320 is used to obtain and the consistent tables of data of described tables of data title;
Reading unit 330 is used for reading the field value corresponding with described field name from the described tables of data of obtaining;
Referring to Fig. 4, be the second embodiment block diagram of the application's data intelligence treating apparatus:
This data intelligence treating apparatus comprises: dispensing unit 410, updating block 420, preset unit 430, acquiring unit 440, reading unit 450, analytic unit 460 and performance element 470.
Wherein, dispensing unit 410 is used for pre-configured rule list, comprises tables of data title, field name and field value parameter in the described rule list;
Updating block 420 is used for described rule list is upgraded, and described renewal comprises increases the field value parameter, or revises the field value parameter, or cancel (CANCL) segment value parameter;
Acquiring unit 440, the T/A that is provided with according to described preset unit 430 obtains and the consistent tables of data of described tables of data title;
Reading unit 450 is used for reading the field value corresponding with described field name from the described tables of data of obtaining;
Concrete, described field value parameter can comprise: the number of times that same field value is transfused to, and/or the frequency that is transfused to of same field value; Analytic unit 460 can comprise (not shown among Fig. 4): statistic unit is used for statistic unit and adds up number of times and/or the frequency that the same word segment value of described field value content unanimity is transfused to; Judging unit is used for judging whether described number of times and/or frequency satisfy number of times and/or frequency that described field value parameter disposes.
Referring to Fig. 5, be the embodiment block diagram of the application's data intelligence disposal system:
This data intelligence disposal system comprises: configuration platform 510 and the data processing platform (DPP) 520 that links to each other with described configuration platform 510.
Wherein, configuration platform 510 is used for the configuration rule table, comprises tables of data title, field name and field value parameter in the described rule list;
Data processing platform (DPP) 520, be used to obtain and the consistent tables of data of described tables of data title, from the described tables of data of obtaining, read the field value corresponding with described field name, the attribute of analyzing same word segment value in the described field value whether with described field value parameter matching, if coupling is then with the default option of described same word segment value as described field name institute corresponding field.
Further, configuration platform 510 can also be used for described rule list is upgraded, and described renewal comprises increases the field value parameter, or revises the field value parameter, or cancel (CANCL) segment value parameter.
Further, if can also being used for the attribute and the described field value parameter of described field value same word segment value, data processing platform (DPP) 520 do not match, and described same word segment value has been the default option of described field name institute corresponding field, then described same word segment value is deleted from described default option.
As seen through the above description of the embodiments, the pre-configured rule list that comprises tables of data title, field name and field value parameter in the embodiment of the present application, obtain the tables of data consistent with the tables of data title, from the tables of data of obtaining, read the field value corresponding with described field name, the attribute of analyzing same word segment value in the described field value whether with described field value parameter matching, if coupling is then with the default option of described same word segment value as described field name institute corresponding field.Use the embodiment of the present application, the field that needs manual input information for tables of data, after the default field value parameter of the field value coupling of this field, the field value of this coupling just can become the default option value of this field automatically, follow-up for this field value, then need not the user and manually fill in, therefore improved user experience; And, can be provided with as required owing to be used for the allocation list of matching field value parameter, therefore improved processing dirigibility to data in the tables of data.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the application and can realize by the mode that software adds essential general hardware platform.Based on such understanding, the part that the application's technical scheme contributes to prior art in essence in other words can embody with the form of software product, this computer software product can be stored in the storage medium, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions are with so that a computer equipment (can be a personal computer, server, the perhaps network equipment etc.) carry out the described method of some part of each embodiment of the application or embodiment.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and identical similar part is mutually referring to getting final product between each embodiment, and each embodiment stresses all is difference with other embodiment.Especially, for system embodiment, because it is substantially similar in appearance to method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of method embodiment.
The application can describe in the general context of the computer executable instructions of being carried out by computing machine, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract, program, object, assembly, data structure or the like.Also can in distributed computing environment, put into practice the application, in these distributed computing environment, by by communication network connected teleprocessing equipment execute the task.In distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium that comprises memory device.
Though described the application by embodiment, those of ordinary skills know, the application has many distortion and variation and the spirit that do not break away from the application, wish that appended claim comprises these distortion and variation and the spirit that do not break away from the application.
Claims (14)
1. an intelligent data processing method is characterized in that, pre-configured rule list comprises tables of data title, field name and field value parameter in the described rule list, comprising:
Obtain and the consistent tables of data of described tables of data title;
From the described tables of data of obtaining, read the field value corresponding with described field name;
The attribute of analyzing same word segment value in the described field value whether with described field value parameter matching, if coupling, then with the default option of described same word segment value as described field name institute corresponding field.
2. method according to claim 1 is characterized in that, also comprises: set in advance T/A, described T/A is used to obtain described tables of data;
Describedly obtain the tables of data consistent and be specially: obtain tables of data with described tables of data title unanimity according to the T/A of described setting with described tables of data title.
3. method according to claim 1 is characterized in that, described field value parameter comprises: the number of times that same field value is transfused to, and/or the frequency that is transfused to of same field value.
4. method according to claim 3 is characterized in that, whether the attribute of same word segment value comprises with described field value parameter matching in the described field value of described analysis:
Add up number of times and/or frequency that the same word segment value of content unanimity in the described field value is transfused to;
Judge whether described number of times and/or frequency satisfy number of times and/or the frequency that disposes in the described field value parameter.
5. method according to claim 1 is characterized in that, also comprises: described rule list is upgraded, and described renewal comprises increases the field value parameter, or revises the field value parameter, or cancel (CANCL) segment value parameter.
6. method according to claim 1 is characterized in that, also comprises:
If the attribute of same word segment value and described field value parameter do not match in the described field value, and described same word segment value has been the default option of described field name institute corresponding field, then described same word segment value deleted from described default option.
7. a data intelligence treating apparatus is characterized in that, comprising:
Dispensing unit is used for pre-configured rule list, comprises tables of data title, field name and field value parameter in the described rule list;
Acquiring unit is used to obtain and the consistent tables of data of described tables of data title;
Reading unit is used for reading the field value corresponding with described field name from the described tables of data of obtaining;
Analytic unit, the attribute that is used for analyzing described field value same word segment value whether with described field value parameter matching;
Performance element is if the analysis result that is used for described analytic unit is coupling, then with the default option of described same word segment value as described field name institute corresponding field.
8. device according to claim 7 is characterized in that, also comprises:
Preset unit is used to set in advance T/A, and described T/A is used to obtain described tables of data;
Described acquiring unit specifically is used for, and obtains and the consistent tables of data of described tables of data title according to the T/A of described setting.
9. device according to claim 7 is characterized in that, described field value parameter comprises: the number of times that same field value is transfused to, and/or the frequency that is transfused to of same field value;
Described analytic unit comprises:
Statistic unit is used for statistic unit and adds up number of times and/or the frequency that the same word segment value of described field value content unanimity is transfused to;
Judging unit is used for judging whether described number of times and/or frequency satisfy number of times and/or frequency that described field value parameter disposes.
10. device according to claim 7 is characterized in that, also comprises:
Updating block is used for described rule list is upgraded, and described renewal comprises increases the field value parameter, or revises the field value parameter, or cancel (CANCL) segment value parameter.
11. device according to claim 7, it is characterized in that, described performance element also is used for, if the analysis result of described analytic unit is not for matching, and described same word segment value has been the default option of described field name institute corresponding field, then described same word segment value is deleted from described default option.
12. a data intelligence disposal system is characterized in that, comprising: configuration platform and the data processing platform (DPP) that links to each other with described configuration platform,
Described configuration platform is used for the configuration rule table, comprises tables of data title, field name and field value parameter in the described rule list;
Described data processing platform (DPP), be used to obtain and the consistent tables of data of described tables of data title, from the described tables of data of obtaining, read the field value corresponding with described field name, the attribute of analyzing same word segment value in the described field value whether with described field value parameter matching, if coupling is then with the default option of described same word segment value as described field name institute corresponding field.
13. system according to claim 12 is characterized in that, described configuration platform also is used for, and described rule list is upgraded, and described renewal comprises increases the field value parameter, or revises the field value parameter, or cancel (CANCL) segment value parameter.
14. system according to claim 12, it is characterized in that, described data processing platform (DPP) also is used for, if the attribute of same word segment value and described field value parameter do not match in the described field value, and described same word segment value has been the default option of described field name institute corresponding field, then described same word segment value is deleted from described default option.
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| CN109492137A (en) * | 2018-09-28 | 2019-03-19 | 中国平安人寿保险股份有限公司 | Front end numerical value update method, device and computer readable storage medium, terminal |
| CN111080834A (en) * | 2019-10-31 | 2020-04-28 | 北京航天自动控制研究所 | Method for configuring criteria for polling data of test and launch control software by using index |
| CN111143433A (en) * | 2019-12-10 | 2020-05-12 | 中国平安财产保险股份有限公司 | Method and device for counting data of data bins |
| CN112000746B (en) * | 2020-10-29 | 2021-01-19 | 武汉中科通达高新技术股份有限公司 | Data management method and device and server |
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