CN106934705A - A kind of special ticket doubtful point taxpayer's monitoring method of value-added tax based on SVMs - Google Patents

A kind of special ticket doubtful point taxpayer's monitoring method of value-added tax based on SVMs Download PDF

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CN106934705A
CN106934705A CN201511001568.6A CN201511001568A CN106934705A CN 106934705 A CN106934705 A CN 106934705A CN 201511001568 A CN201511001568 A CN 201511001568A CN 106934705 A CN106934705 A CN 106934705A
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Prior art keywords
item information
subelement
taxpayer
tax
monitoring
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哈达
任钦正
潘竞旭
谢宇
吴伟刚
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Aisino Corp
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Aisino Corp
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Priority to CN201511001568.6A priority Critical patent/CN106934705A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/10Tax strategies
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2228Indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • G06F16/24553Query execution of query operations

Abstract

The invention discloses a kind of special ticket doubtful point taxpayer monitoring method of value-added tax based on SVMs and system, methods described is set up learning process table, supporting vector machine model is set up by study according to available data and relevant criterion;The Item Information in tables of data to be measured is processed using the supporting vector machine model set up then, the article is classified, classification effectiveness and quality are improved by the foundation and use of supporting vector machine model.Sorted Item Information is compared again, so as to analyze doubtful point taxpayer, effective monitoring and the illegal enterprise's tax evasion of analysis, guarantee tax income, improves the operating efficiency of the aspects such as tax authority's tax payment evaluation, Tax Check;Meanwhile, the risk for issuing invoice lack of standardization is reduced, promote the legacy specification operation of enterprise, effectively contain that illegal enterprise writes false value added tax invoice, obtains the behaviors such as income of not making out an invoice, reduce the generation of enterprise's tax evasion phenomenon.

Description

A kind of special ticket doubtful point taxpayer's monitoring method of value-added tax based on SVMs
Technical field
The invention belongs to tax monitoring technical field, and in particular to a kind of special ticket doubtful point taxpayer's monitoring method of value-added tax based on SVMs.
Background technology
Promoting the use of for forgery prevention for value-added tax taxation control system substantially increases national tax revenue and has become one of strong means that state tax revenue is levied and managed, but still has enterprise to be engaged in illegal business activity using the deficiency of the existing taxation management method.During value-added tax tax revenue, often there is commerce and trade corporation tax income invoice situation not corresponding with the amount of money with the article of value-added tax sales invoice in the staff's reaction of tax office.But, the tax items data volume related to invoice is very huge, it is desirable to which find out invoice does not conform to rule part, not a duck soup.
In the prior art, by a several detection to VAT invoice, judge that enterprise whether there is illegal operation.Application No. 201310547638.2, application are entitled《A kind of VAT invoice one several detection method and its system》Chinese patent, disclose a kind of VAT invoice one several detection method and its system, the system includes:Data preparation is carried out, data query is performed, in income invoice data, the income invoice data for not doing a several treatment is taken out one by one;Build spcial character dictionary table;The Taxpayer Identification Number and enterprise's Chinese of enterprise of write off side;Its enterprise's Chinese registered in the tax authority is taken according to Taxpayer Identification Number;Calculate the similarity of enterprise's Chinese of above-mentioned taxpayer and enterprise's Chinese of registration;Carry out a several judgements.The method of the invention is capable of detecting when number several doubtful point of VAT invoice, i.e.,:Enterprise is when VAT invoice is issued, enterprise if there is pin side duty paragraph correspondence multiple pin side title is to be classified as a several doubtful points, so as to track and monitor whether enterprise has generation to draw a bill and write out falsely the behavior of invoice, for the tax authority provides reference, it is to avoid the illegal operation of enterprise.
But, the above-mentioned monitoring to enterprise, only by tax payment assessed people enterprise Chinese with registration enterprise Chinese similarity come determine whether No. one it is several, and the pin-shaped condition of specifically entering of enterprise cannot be exercised supervision, when an enterprise simultaneously in the presence of write out falsely invoice and do not make out an invoice take in when, undetectable blind spot then occurs, it is impossible to the effective tax position for monitoring enterprise of paying taxes.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of special ticket doubtful point taxpayer's monitoring method of value-added tax based on SVMs, the screening and monitoring of doubtful point taxpayer are carried out by the special ticket article of value-added tax and amount of money dimension, the algorithm of SVMs has been used to realize the classification work of Item Title, improve the discrimination of word, strengthen the risk management of value-added tax, the reinforcing tax source control, containment lawless person utilizes the behavior of the technical bottleneck tax evasion of current tax jurisdiction.
According to an aspect of the invention, there is provided a kind of special ticket doubtful point taxpayer's monitoring method of value-added tax based on SVMs, methods described includes:
Set up supporting vector machine model;
Inquire about first Item Information and Taxpayer Identification Number of the special ticket income of value-added tax and the pin item of testing data table;
The article is classified according to first Item Information with supporting vector machine model, and sets up classification results table;
Corresponding first Item Information of a certain Taxpayer Identification Number to be measured is inquired about from the classification results table, and the Item Information in income is contrasted with the Item Information in pin;
When the first Item Information in the first Item Information in the income and pin is inconsistent, then the corresponding artificial doubtful point taxpayer that pays taxes of the Taxpayer Identification Number is judged.
It is described to set up supporting vector machine model in such scheme, including:
SQL statement is performed, the second Item Information is extracted from the special ticket income of value-added tax and pin table;
Collect second Item Information for being extracted, screen and abandon repeated data and invalid data, retain valid data;
Learning process table is set up according to the valid data and national professional museum;
The data in the learning process table are learnt with SVMs, so as to set up supporting vector machine model.
In such scheme, first Item Information includes one or more in Item Title, number of articles, the article amount of money.
In such scheme, second Item Information includes one or more in Item Title, type of items, number of articles, the article amount of money.
In such scheme, it is described to set up classification results table, it is further, type of goods row are inserted in testing data table, supporting vector machine model to the article classify obtaining classification results according to first Item Information, and the classification results are added in the respective column of the type of goods, so as to obtain classification results table.
According to another aspect of the present invention, a kind of special ticket doubtful point taxpayer's monitoring system of value-added tax based on SVMs is additionally provided, the system includes:Model sets up unit, information query unit to be measured, taxon, contrast and identifying unit;Wherein,
The model sets up unit for setting up supporting vector machine model;
The information query unit to be measured is used to inquire about first Item Information and Taxpayer Identification Number of the special ticket income of value-added tax and the pin item of testing data table;
The taxon sets up unit with the model simultaneously and the information query unit to be measured is connected, and for classifying to the article according to first Item Information with supporting vector machine model, and sets up classification results table;
It is described compare be connected with identifying unit with the taxon, for inquiring about corresponding first Item Information of a certain Taxpayer Identification Number to be measured from the classification results table, and the Item Information in income is contrasted with the Item Information in pin;It is additionally operable to:When the first Item Information in the first Item Information in the income and pin is inconsistent, then the corresponding artificial doubtful point taxpayer that pays taxes of the Taxpayer Identification Number is judged.
In such scheme, the model sets up unit to be included:Information extraction subelement, information collects subelement, and learning process table sets up subelement, learns subelement;Wherein,
Described information extracts subelement to be used to perform SQL statement, and the second Item Information is extracted from the special ticket income of value-added tax and pin table;
Described information collects subelement and is connected with described information extraction subelement, for collecting second Item Information for being extracted, screens and abandon repeated data and invalid data, retains valid data;
The learning process table sets up subelement for setting up learning process table according to the valid data and national professional museum;
The study subelement is set up subelement and is connected with the learning process table, for learning to the data in the learning process table with SVMs, so as to set up supporting vector machine model.
In such scheme, the taxon includes:Subelement is added, classification subelement is performed, result subelement is added;Wherein,
The subelement of adding in testing data table for inserting type of goods row;
The classification subelement that performs to the article classify obtaining classification results for supporting vector machine model according to first Item Information;
It is described addition result subelement simultaneously with it is described add subelement and the execution classification subelement be connected, for the classification results to be added in the respective column of the type of goods, so as to obtain classification results table.
In such scheme, first Item Information includes one or more in Item Title, number of articles, the article amount of money.
In such scheme, second Item Information includes one or more in Item Title, type of items, number of articles, the article amount of money.
As can be seen from the above technical solutions, the special ticket doubtful point taxpayer monitoring method of value-added tax based on SVMs and system of the embodiment of the present invention, learning process table is set up according to available data and relevant criterion, supporting vector machine model is set up by supervised learning algorithm, make full use of small sample non-linear and high dimensional pattern identification significant advantage.So as to be processed the Item Information in tables of data to be measured using the supporting vector machine model set up, the article is classified, classification effectiveness and quality are improved by the foundation and use of supporting vector machine model.Sorted Item Information is compared again, so as to analyze doubtful point taxpayer, effective monitoring and the illegal enterprise's tax evasion of analysis, guarantee tax income, improves the operating efficiency of the aspects such as tax authority's tax payment evaluation, Tax Check;Meanwhile, the risk for issuing invoice lack of standardization is reduced, promote the legacy specification operation of enterprise, effectively contain that illegal enterprise writes false value added tax invoice, obtains the behaviors such as income of not making out an invoice, greatly reduce the generation of enterprise's tax evasion phenomenon.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, the accompanying drawing to be used needed for being described to embodiment below is briefly described, apparently, drawings in the following description are only some embodiments of the present invention, for those of ordinary skill in the art, without having to pay creative labor, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the special ticket doubtful point taxpayer monitoring method schematic flow sheet of the value-added tax based on supporting vector machine model of first embodiment of the invention;
Fig. 2 is to set up supporting vector machine model schematic flow sheet shown in Fig. 1;
Fig. 3 is the special ticket doubtful point taxpayer monitoring system structural representation of the value-added tax based on SVMs of second embodiment of the invention.
Specific embodiment
Those skilled in the art of the present technique are appreciated that unless expressly stated singulative " " used herein, " one ", " described " and " being somebody's turn to do " may also comprise plural form.It should be further understood that, used in specification of the invention wording " including " refer to the presence of the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or add one or more other features, integer, step, operation, element, component and/or their group.It should be understood that when we claim element to be " connected " or during " coupled " to another element, it can be directly connected or coupled to other elements, or can also there is intermediary element.Additionally, " connection " used herein or " coupling " can include wireless connection or coupling.Wording "and/or" used herein includes one or more associated any cells for listing item and all combines.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein(Including technical term and scientific terminology)With with art of the present invention in those of ordinary skill general understanding identical meaning.It should also be understood that those terms defined in such as general dictionary should be understood that with the meaning consistent with the meaning in the context of prior art, and unless defined as here, will not be with idealizing or excessively formal implication be explained.
For ease of the understanding to the embodiment of the present invention, embodiments of the present invention are described below in detail, are exemplary by reference to the implementation method of Description of Drawings, be only used for explaining the present invention, and be not construed as limiting the claims.
Fig. 1 is the special ticket doubtful point taxpayer monitoring method schematic flow sheet of the value-added tax based on supporting vector machine model of first embodiment of the invention.As shown in figure 1, the special ticket doubtful point taxpayer's monitoring method of the value-added tax based on supporting vector machine model of the present embodiment, comprises the following steps:
Step S101, sets up supporting vector machine model.
Preferably, here set up supporting vector machine model, following steps can be specifically included, as shown in Figure 2:
Step S1011, performs SQL statement, and the second Item Information is extracted from the special ticket income of value-added tax and pin table.
Step S1012, collects second Item Information for being extracted, and screens and abandon repeated data and invalid data, retains valid data;
Step S1013, learning process table is set up according to the valid data and national professional museum.
Learning process list data screening process is set up in this sub-step will keep the quantity of training sample as small as possible, do not increased multisample in the case of the basic sample of covering, and screening process here, eliminate substantial amounts of repeated data and invalid data, effectively prevent information repetition, so as to cover those less samples that compare, over-fitting is formed.Learning process table is that the typical data sample by being given from national trade classification table and/or the tax bureau is created, and primary fields have article unit, Item Title, article unit price, goods categories.
Data in the learning process table are learnt, so as to set up supporting vector machine model by step S1014 with SVMs.
The special ticket doubtful point taxpayer's monitoring method of value-added tax also includes:
Step S102, inquires about first Item Information and Taxpayer Identification Number of the special ticket income of value-added tax and the pin item of testing data table.Preferably, first Item Information here includes one or more in Item Title, number of articles, the article amount of money.
Step S103, classifies, and set up classification results table according to first Item Information with supporting vector machine model to the article.Preferably, second Item Information here includes one or more in Item Title, type of items, number of articles, the article amount of money.
Using the SVMs of supervised learning algorithm in step S101, and high dimensional pattern non-linear for small sample identification problem has significant advantage.Cause that the screening degree of accuracy and screening efficiency are significantly improved by SVMs during the special ticket taxonomy of goods of value-added tax that the present embodiment is related to is solved, and traditional manual sort's method is easily the classification of article mistake.
Classification results table is set up described in this step, can be further, type of goods row are inserted in testing data table, supporting vector machine model to the article classify obtaining classification results according to first Item Information, and the classification results are added in the respective column of the type of goods, so as to obtain classification results table.
Step S104, inquires about corresponding first Item Information of a certain Taxpayer Identification Number to be measured, and the Item Information in income is contrasted with the Item Information in pin from the classification results table.
Step S105, judges whether the first Item Information in the income is consistent with the first Item Information in pin, when inconsistent, performs step S106;When consistent, then terminate monitoring.
Step S106, judges the corresponding artificial doubtful point taxpayer that pays taxes of the Taxpayer Identification Number.
For example, step 104 is to step S106, using commerce and trade enterprise handle send a duplicate to tax and certification during the income invoice that gathers up and sales invoice article and amount information, the income of same commerce and trade enterprise is contrasted with the Item Title classification of pin, analyse whether to belong to same class article, then whether normal its amount of money is compared, so as to judge whether it is the doubtful point taxpayer for writing out falsely invoice.
The special ticket doubtful point taxpayer's monitoring method of value-added tax based on SVMs of the present embodiment, learning process table is set up according to available data and standard, supporting vector machine model is set up by supervised learning algorithm, make full use of small sample non-linear and high dimensional pattern identification significant advantage.So as to be processed the Item Information in tables of data to be measured using the supporting vector machine model set up, the article is classified, classification effectiveness and quality are improved by the foundation and use of supporting vector machine model.Sorted Item Information is compared again, so as to analyze doubtful point taxpayer, effective monitoring and the illegal enterprise's tax evasion of analysis, guarantee tax income, improves the operating efficiency of the aspects such as tax authority's tax payment evaluation, Tax Check;Meanwhile, the risk for issuing invoice lack of standardization is reduced, promote the legacy specification operation of enterprise, effectively contain that illegal enterprise writes false value added tax invoice, obtains the behaviors such as income of not making out an invoice, greatly reduce the generation of enterprise's tax evasion phenomenon.
Fig. 3 is the special ticket doubtful point taxpayer monitoring system structural representation of the value-added tax based on SVMs of second embodiment of the invention.
As shown in figure 3, the special ticket doubtful point taxpayer's monitoring system of the value-added tax based on SVMs of the present embodiment, including:Model sets up unit 1, information query unit to be measured 2, taxon 3, contrast and identifying unit 4;Wherein,
The model sets up unit 1 for setting up supporting vector machine model;
The information query unit to be measured 2 is used to inquire about first Item Information and Taxpayer Identification Number of the special ticket income of value-added tax and the pin item of testing data table;
The taxon 3 sets up unit with the model simultaneously and the information query unit to be measured is connected, and for classifying to the article according to first Item Information with supporting vector machine model, and sets up classification results table;
It is described compare be connected with identifying unit 4 with the taxon, for inquiring about corresponding first Item Information of a certain Taxpayer Identification Number to be measured from the classification results table, and the Item Information in income is contrasted with the Item Information in pin;It is additionally operable to:When the first Item Information in the first Item Information in the income and pin is inconsistent, then the corresponding artificial doubtful point taxpayer that pays taxes of the Taxpayer Identification Number is judged.
Preferably, the model is set up unit 1 and is included:Information extraction subelement 11, information collects subelement 12, and learning process table sets up subelement 13, learns subelement 14;Wherein,
Described information extracts subelement 11 to be used to perform SQL statement, and the second Item Information is extracted from the special ticket income of value-added tax and pin table;
Described information collects subelement 12 and is connected with described information extraction subelement, for collecting second Item Information for being extracted, screens and abandon repeated data and invalid data, retains valid data,
The learning process table sets up subelement 13 and collects subelement with described information and is connected, for setting up learning process table according to the valid data and national professional museum;
The study subelement 14 is set up subelement and is connected with the learning process table, for learning to the data in the learning process table with SVMs, so as to set up supporting vector machine model.
The taxon 3 includes:Subelement 31 is added, classification subelement 32, addition result subelement 33 is performed;Wherein,
The subelement 31 of adding in testing data table for inserting type of goods row;
The classification subelement 32 that performs to the article classify obtaining classification results for supporting vector machine model according to first Item Information;
The addition result subelement 33 adds subelement and execution classification subelement is connected with described simultaneously, for the classification results to be added in the respective column of the type of goods, so as to obtain classification results table.
The special ticket doubtful point taxpayer's monitoring system of value-added tax based on SVMs of the present embodiment, learning process table is set up according to available data and standard, supporting vector machine model is set up by supervised learning algorithm, make full use of small sample non-linear and high dimensional pattern identification significant advantage.So as to be processed the Item Information in tables of data to be measured using the supporting vector machine model set up, the article is classified, classification effectiveness and quality are improved by the foundation and use of supporting vector machine model.Sorted Item Information is compared again, so as to analyze doubtful point taxpayer, effective monitoring and the illegal enterprise's tax evasion of analysis, guarantee tax income, improves the operating efficiency of the aspects such as tax authority's tax payment evaluation, Tax Check;Meanwhile, the risk for issuing invoice lack of standardization is reduced, promote the legacy specification operation of enterprise, effectively contain that illegal enterprise writes false value added tax invoice, obtains the behaviors such as income of not making out an invoice, greatly reduce the generation of enterprise's tax evasion phenomenon.
As seen through the above description of the embodiments, those skilled in the art can be understood that the present invention can add the mode of required general hardware platform to realize by software.Based on such understanding, the part that technical scheme substantially contributes to prior art in other words can be embodied in the form of software product, the computer software product can be stored in storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions are used to so that a computer equipment(Can be personal computer, server, or network equipment etc.)Perform the method described in some parts of each embodiment of the invention or embodiment.
Each embodiment in this specification is described by the way of progressive, and identical similar part is mutually referring to what each embodiment was stressed is the difference with other embodiment between each embodiment.For especially for device or system embodiment, because it is substantially similar to embodiment of the method, so describing fairly simple, the relevent part can refer to the partial explaination of embodiments of method.Apparatus and system embodiment described above is only schematical, the wherein described unit illustrated as separating component can be or may not be physically separate, the part shown as unit can be or may not be physical location, a place is may be located at, or can also be distributed on multiple NEs.Some or all of module therein can be according to the actual needs selected to realize the purpose of this embodiment scheme.Those of ordinary skill in the art are without creative efforts, you can to understand and implement.
The above; the only present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto, any one skilled in the art the invention discloses technical scope in; the change or replacement that can be readily occurred in, should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.

Claims (10)

1. the special ticket doubtful point taxpayer's monitoring method of a kind of value-added tax based on SVMs, it is characterised in that methods described includes:
Set up supporting vector machine model;
Inquire about first Item Information and Taxpayer Identification Number of the special ticket income of value-added tax and the pin item of testing data table;
The article is classified according to first Item Information with supporting vector machine model, and sets up classification results table;
Corresponding first Item Information of a certain Taxpayer Identification Number to be measured is inquired about from the classification results table, and the Item Information in income is contrasted with the Item Information in pin;
When the first Item Information in the first Item Information in the income and pin is inconsistent, then the corresponding artificial doubtful point taxpayer that pays taxes of the Taxpayer Identification Number is judged.
2. the special ticket doubtful point taxpayer's monitoring method of value-added tax according to claim 1, it is characterised in that described to set up supporting vector machine model, including:
SQL statement is performed, the second Item Information is extracted from the special ticket income of value-added tax and pin table;
Collect second Item Information for being extracted, screen and abandon repeated data and invalid data, retain valid data;
Learning process table is set up according to the valid data and national professional museum;
The data in the learning process table are learnt with SVMs, so as to set up supporting vector machine model.
3. the special ticket doubtful point taxpayer's monitoring method of value-added tax according to claim 1 and 2, it is characterised in that first Item Information includes one or more in Item Title, number of articles, the article amount of money.
4. the special ticket doubtful point taxpayer's monitoring method of value-added tax according to claim 2, it is characterised in that second Item Information includes one or more in Item Title, type of items, number of articles, the article amount of money.
5. the special ticket doubtful point taxpayer's monitoring method of value-added tax according to claim 1 and 2, it is characterized in that, it is described to set up classification results table, it is further, type of goods row are inserted in testing data table, supporting vector machine model to the article classify and obtains classification results according to first Item Information, and the classification results are added in the respective column of the type of goods, so as to obtain classification results table.
6. the special ticket doubtful point taxpayer's monitoring system of a kind of value-added tax based on SVMs, it is characterised in that the system includes:Model sets up unit, information query unit to be measured, taxon, contrast and identifying unit;Wherein,
The model sets up unit for setting up supporting vector machine model;
The information query unit to be measured is used to inquire about first Item Information and Taxpayer Identification Number of the special ticket income of value-added tax and the pin item of testing data table;
The taxon sets up unit with the model simultaneously and the information query unit to be measured is connected, and for classifying to the article according to first Item Information with supporting vector machine model, and sets up classification results table;
It is described compare be connected with identifying unit with the taxon, for inquiring about corresponding first Item Information of a certain Taxpayer Identification Number to be measured from the classification results table, and the Item Information in income is contrasted with the Item Information in pin;It is additionally operable to:When the first Item Information in the first Item Information in the income and pin is inconsistent, then the corresponding artificial doubtful point taxpayer that pays taxes of the Taxpayer Identification Number is judged.
7. doubtful point taxpayer monitoring system according to claim 6, it is characterised in that the model sets up unit to be included:Information extraction subelement, information collects subelement, and learning process table sets up subelement, learns subelement;Wherein,
Described information extracts subelement to be used to perform SQL statement, and the second Item Information is extracted from the special ticket income of value-added tax and pin table;
Described information collects subelement and is connected with described information extraction subelement, for collecting second Item Information for being extracted, screens and abandon repeated data and invalid data, retains valid data;
The learning process table sets up subelement for setting up learning process table according to the valid data and national professional museum;
The study subelement is set up subelement and is connected with the learning process table, for learning to the data in the learning process table with SVMs, so as to set up supporting vector machine model.
8. the doubtful point taxpayer's monitoring system according to claim 6 or 7, it is characterised in that the taxon includes:Subelement is added, classification subelement is performed, result subelement is added;Wherein,
The subelement of adding in testing data table for inserting type of goods row;
The classification subelement that performs to the article classify obtaining classification results for supporting vector machine model according to first Item Information;
It is described addition result subelement simultaneously with it is described add subelement and the execution classification subelement be connected, for the classification results to be added in the respective column of the type of goods, so as to obtain classification results table.
9. the doubtful point taxpayer's monitoring system according to claim 6 or 7, it is characterised in that first Item Information includes one or more in Item Title, number of articles, the article amount of money.
10. doubtful point taxpayer monitoring system according to claim 7, it is characterised in that second Item Information includes one or more in Item Title, type of items, number of articles, the article amount of money.
CN201511001568.6A 2015-12-28 2015-12-28 A kind of special ticket doubtful point taxpayer's monitoring method of value-added tax based on SVMs Pending CN106934705A (en)

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CN104463649A (en) * 2015-01-07 2015-03-25 税友软件集团股份有限公司 Invoice recording method and system

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CN109426968A (en) * 2017-08-22 2019-03-05 阿里巴巴集团控股有限公司 Method for detecting abnormality, device and the method for detecting abnormality of enterprise of main body to be measured
CN110019324A (en) * 2017-12-06 2019-07-16 航天信息股份有限公司 A kind of method and system generating taxpayer's fund circuit
CN110019324B (en) * 2017-12-06 2021-05-14 航天信息股份有限公司 Method and system for generating taxpayer fund loop
CN109993644A (en) * 2017-12-29 2019-07-09 航天信息股份有限公司 A kind of portrait determines method, apparatus, electronic equipment and storage medium
CN108595621A (en) * 2018-04-23 2018-09-28 泰华智慧产业集团股份有限公司 A kind of early warning analysis method and system write false value added tax invoice
CN108595621B (en) * 2018-04-23 2020-10-30 泰华智慧产业集团股份有限公司 Early warning analysis method and system for false value-added tax invoice
CN109636036A (en) * 2018-12-12 2019-04-16 税友软件集团股份有限公司 A kind of method, system and the equipment of the prediction of enterprise's invoiced amount
CN109636036B (en) * 2018-12-12 2021-03-26 亿企赢网络科技有限公司 Method, system and equipment for enterprise invoice quantity prediction

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