CN107194673A - Using the government affairs processing system of SVM technologies - Google Patents
Using the government affairs processing system of SVM technologies Download PDFInfo
- Publication number
- CN107194673A CN107194673A CN201710537142.5A CN201710537142A CN107194673A CN 107194673 A CN107194673 A CN 107194673A CN 201710537142 A CN201710537142 A CN 201710537142A CN 107194673 A CN107194673 A CN 107194673A
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- government affairs
- svm
- riffle
- module
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The invention discloses the government affairs processing system using SVM technologies, including：Input the input module that each department handles the form of government affairs；Each department is handled to the form generation database and the database module stored of government affairs；Total Options in database are carried out with the SVM modules of SVM machine learning；The storage module of the riffle generated after storage SVM machine learning；The analysis module judged according to riffle table option；Analysis module is additionally operable to, when the ratio that "No" occurs in the riffle of a table option is more than threshold value, send and remove signal；When receiving removal signal, the table option is removed from form, and update the output module that each department handles the form of government affairs.The present invention is had found seldom to use, the option on form not used even using the government affairs processing system of SVM technologies by SVM machine learning, and these options are deleted, so as to reach the purpose for simplifying government affairs, is reduced government affairs cost, is improved government affairs treatment effeciency.
Description
Technical field
The present invention relates to E-Government field, and in particular to using the government affairs processing system of SVM technologies.
Background technology
Since 2013, to implement the work arrangements that State Council transforms the function of the government, streamlined administration and institute decentralization on quickening, development changes
Approval item is greatly decreased by revising the investment project catalogue that government checks and approves with the parties concerned in revolution committee, is done by revising approval
Method makes great efforts to increase work efficiency, and strengthens supervising afterwards in thing by exploring linkage association control mechanism in length and breadth of setting up, varying quantity is progressively
Show.But, Enterprises Investment Project, which is checked and approved, still has that preposition examination and approval procedures are numerous and diverse, inefficiency, depends on preposition examination ＆ approval
The outstanding problems such as intermediary sevices behavior is lack of standardization, unreasonable charges, basic reason is governability theory transformation hysteresis, and function turns
Become not in place, still get used to replacing supervising afterwards in thing with advance approval.Therefore, in-depth reform Enterprises Investment Project system of approval
Degree is imperative, very urgent.
When handling government affairs at present, personal or enterprise generally requires to fill out many contents on complicated form, form and examined in government affairs
Taken less than when looking into, but handle and but bother very much, which improves government affairs cost, reduce government affairs treatment effeciency.
The content of the invention
The technical problems to be solved by the invention are that current government affairs processing needs to fill in many useless table options, so that
Government affairs cost is improved, government affairs treatment effeciency is reduced, it is therefore intended that the government affairs processing system using SVM technologies is provided, is solved
Above mentioned problem.
The present invention is achieved through the following technical solutions：
Using the government affairs processing system of SVM technologies, including：For inputting the input mould that each department handles the form of government affairs
Block；Database and the database module stored are generated for each department to be handled to the form of government affairs；For in database
Total Options carry out the SVM modules of SVM machine learning；Storage module for storing the riffle generated after SVM machine learning；
For the analysis module judged according to riffle table option；The analysis module is additionally operable to when table option
When the ratio that "No" occurs in riffle is more than threshold value, sends and remove signal；For when receiving removal signal, by the table option
Removed from form, and update the output module that each department handles the form of government affairs.
In the prior art, when handling government affairs, personal or enterprise generally requires to fill out many contents on complicated form, form and existed
Government affairs take less than when examining, but handle and but bother very much, which improves government affairs cost, reduce government affairs processing effect
Rate.When the present invention is applied, input module inputs the form that each department handles government affairs, and each department is handled political affairs by database module
The form generation database of business is simultaneously stored, and SVM modules carry out SVM machine learning, storage module to the total Options in database
The riffle generated after storage SVM machine learning, analysis module judges table option that analysis module is also according to riffle
During for occurring the ratio of "No" when the riffle of a table option more than threshold value, that is, think the table option utilization rate very
It is low, send remove signal immediately, output module removes the table option, and update when receiving removal signal from form
Each department handles the form of government affairs, so as to reach the purpose for simplifying government affairs, reduces government affairs cost, improves government affairs processing effect
Rate.
Further, the output module is additionally operable to after the form use after each department updates, by the form after use
Add database.
Further, the SVM machine learning uses linear kernel function.
Further, the riffle is used to judge whether the table option is used in any government affairs link.
Further, the threshold value uses 0.1%~0.5%.
The present invention compared with prior art, has the following advantages and advantages：
The present invention is had found seldom to use by SVM machine learning, not made even using the government affairs processing system of SVM technologies
Option on form, and these options are deleted, so as to reach the purpose for simplifying government affairs, government affairs cost is reduced, is improved
Government affairs treatment effeciencies.
Brief description of the drawings
Accompanying drawing described herein is used for providing further understanding the embodiment of the present invention, constitutes one of the application
Point, do not constitute the restriction to the embodiment of the present invention.In the accompanying drawings：
Fig. 1 is present system structural representation.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, with reference to embodiment and accompanying drawing, to this
Invention is described in further detail, and exemplary embodiment and its explanation of the invention is only used for explaining the present invention, does not make
For limitation of the invention.
Embodiment
As shown in figure 1, government affairs processing system of the present invention using SVM technologies, including：Political affairs are handled for inputting each department
The input module of the form of business；Database and the database module stored are generated for each department to be handled to the form of government affairs；
SVM modules for the total Options in database to be carried out with SVM machine learning；For storing what is generated after SVM machine learning
The storage module of riffle；For the analysis module judged according to riffle table option；The analysis module is also used
When the ratio for occurring "No" when the riffle of a table option is more than threshold value, sends and remove signal；For receiving removal
During signal, the table option is removed from form, and updates the output module that each department handles the form of government affairs.It is described defeated
Go out module to be additionally operable to after the form use after each department updates, the form after use is added into database.The SVM engineerings
Habit uses linear kernel function.The riffle is used to judge whether the table option is used in any government affairs link.The threshold
Value uses 0.1%~0.5%.
When the present embodiment is implemented, input module inputs the form that each department handles government affairs, and database module is by each portion
Door is handled the form generation database of government affairs and stored, and SVM modules carry out SVM machine learning to the total Options in database,
The riffle generated after storage module storage SVM machine learning, analysis module is judged table option according to riffle, is divided
Analysis module is additionally operable to when the ratio that "No" occurs in the riffle of a table option is more than threshold value, that is, think that the table option makes
It is very low with rate, send remove signal immediately, output module moves up the table option from form when receiving removal signal
Remove, and update each department and handle the form of government affairs, so as to reach the purpose for simplifying government affairs, reduce government affairs cost, improve
Government affairs treatment effeciency.
Above-described embodiment, has been carried out further to the purpose of the present invention, technical scheme and beneficial effect
Describe in detail, should be understood that the embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc. all should be included
Within protection scope of the present invention.
Claims (5)
1. using the government affairs processing system of SVM technologies, it is characterised in that including：
For inputting the input module that each department handles the form of government affairs；
Database and the database module stored are generated for each department to be handled to the form of government affairs；
SVM modules for the total Options in database to be carried out with SVM machine learning；
Storage module for storing the riffle generated after SVM machine learning；
For the analysis module judged according to riffle table option；The analysis module is additionally operable to when a form choosing
When the ratio that "No" occurs in the riffle of item is more than threshold value, sends and remove signal；
For when receiving removal signal, the table option being removed from form, and update the table that each department handles government affairs
The output module of lattice.
2. the government affairs processing system of use SVM technologies according to claim 1, it is characterised in that the output module is also
After form use after being updated for each department, the form after use is added into database.
3. the government affairs processing system of use SVM technologies according to claim 1, it is characterised in that the SVM machine learning
Using linear kernel function.
4. the government affairs processing system of use SVM technologies according to claim 1, it is characterised in that the riffle is used for
Judge whether the table option is used in any government affairs link.
5. the government affairs processing system of use SVM technologies according to claim 1, it is characterised in that the threshold value is used
0.1%~0.5%.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201710537142.5A CN107194673A (en) | 2017-07-04 | 2017-07-04 | Using the government affairs processing system of SVM technologies |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710537142.5A CN107194673A (en) | 2017-07-04 | 2017-07-04 | Using the government affairs processing system of SVM technologies |
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| CN107194673A true CN107194673A (en) | 2017-09-22 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108036480A (en) * | 2017-12-06 | 2018-05-15 | 成都猴子软件有限公司 | Haze system based on technology of Internet of things |
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| CN101288044A (en) * | 2005-10-17 | 2008-10-15 | 松下电器产业株式会社 | Function operating screen display control method |
| CN101257671A (en) * | 2007-07-06 | 2008-09-03 | 浙江大学 | Method for real time filtering large scale rubbish SMS based on content |
| CN103080901A (en) * | 2010-09-06 | 2013-05-01 | 国际商业机器公司 | Managing a user interface for an application program |
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