CN107301596A - A kind of tax big data method for digging and device drawn a portrait based on taxpayer - Google Patents

A kind of tax big data method for digging and device drawn a portrait based on taxpayer Download PDF

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Publication number
CN107301596A
CN107301596A CN201710606026.4A CN201710606026A CN107301596A CN 107301596 A CN107301596 A CN 107301596A CN 201710606026 A CN201710606026 A CN 201710606026A CN 107301596 A CN107301596 A CN 107301596A
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China
Prior art keywords
index
taxpayer
tax
industry
correlation
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CN201710606026.4A
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Inventor
孙良俊
王惠琨
高长伟
张涛
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Beijing Sanzheng Polytron Technologies Inc
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Beijing Sanzheng Polytron Technologies Inc
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Priority to CN201710606026.4A priority Critical patent/CN107301596A/en
Publication of CN107301596A publication Critical patent/CN107301596A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12Accounting
    • G06Q40/123Tax preparation or submission
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

The invention discloses a kind of tax big data method for digging and device drawn a portrait based on taxpayer, this method to taxpayer's information carry out data mining processing, obtain pillar industry index, strange land manage index, source of tax revenue risk index, pay taxes contribution index and family tree index of paying taxes;Then addition is weighted to above-mentioned taxpayer's index of correlation, obtains taxpayer's comprehensive evaluation index, i.e. taxpayer and draw a portrait.The calculating acquisition process of above-mentioned index is excavation and processing based on taxpayer's relevant information, i.e., data digging method has been applied into tax jurisdiction field;Comprehensive description can be carried out to the information of taxpayer, clearly taxpayer's Figure Characteristics in difference tax area, the administration base of science is provided for revenue department.

Description

A kind of tax big data method for digging and device drawn a portrait based on taxpayer
Technical field
It is more particularly to a kind of to be dug based on the tax big data that taxpayer draws a portrait the present invention relates to data mining technology field Dig method and device.
Background technology
Tax jurisdiction be unable to do without the support of big data, and improving tax jurisdiction level also depends on around using data as core Accurate management system, i.e., be collected, analyze, integrate and use to various data.And data mining technology is that current processing is big One of Main Means of data message, data mining technology is from substantial amounts of, incomplete, noisy, fuzzy, random In data, extraction lies in therein, is the information of potentially useful and the process of knowledge again, is a kind of deeper data point Analysis.With the development of data mining technology, it is related to numerous science and technology, including database technology, statistics, machine learning, Other science such as information science, data visualization and pattern-recognition.
When tax pipe portion door is to the present situation of the taxpayer in oneself administration tax area and when not knowing about, it is necessary to which one comprehensive to quantify Evaluation index weigh taxpayer's present situation, the foundation of scientific management is provided for tax pipe portion door.Although big data excavates case very It is many, but how big data digging technology is applied in tax jurisdiction field, describe to pay taxes especially by mined information People is also the emphasis studied at present.
The content of the invention
Above mentioned problem is directed to, the present invention provides a kind of tax big data method for digging and dress drawn a portrait based on taxpayer Put, realize clearly analysis taxpayer's information, the purpose of scientific management foundation is provided for tax pipe portion door.
To achieve these goals, should according to the first aspect of the invention there is provided a kind of taxpayer's information mining method Method includes:
Data mining processing is carried out to taxpayer's information, taxpayer's index of correlation is obtained, wherein, described information index includes Pillar industry index, strange land manage index, source of tax revenue risk index, pay taxes contribution index and family tree index of paying taxes;
Addition is weighted to taxpayer's index of correlation, taxpayer's comprehensive evaluation index is obtained, and pay taxes described People's comprehensive evaluation index is defined as taxpayer's portrait.
It is preferred that, it is described that data mining processing is carried out to taxpayer's information, taxpayer's index of correlation is obtained, including:
By obtaining industry-by-industry tax in certain Individual Income Tax area, calculating obtains the pillar industry index;
Taxpayer's registered address information and operation address information are obtained, determines that index is managed in the strange land;
Relevant parameter is taken according to taxpayer's product, taxpayer's source of tax revenue risk management and control model is created, calculating obtains the tax Source risk index;
Contribution rate of paying taxes to industry-by-industry in some region is normalized, and obtains the contribution index of paying taxes;
Tax payer enterprise mechanism information is obtained, family tree index of being paid taxes described in obtaining is calculated.
It is preferred that, it is described that addition is weighted to taxpayer's index of correlation, taxpayer's comprehensive evaluation index is obtained, and Taxpayer's comprehensive evaluation index is defined as taxpayer's portrait, including:
The corresponding weighted value of taxpayer's index of correlation is set respectively;
The corresponding taxpayer's index of correlation of the weighted value is multiplied, each taxpayer's index of correlation pair is obtained respectively The product answered;
Each described corresponding product of taxpayer's index of correlation is summed up into calculating, taxpayer's overall merit is obtained and refers to Number.
It is preferred that, described by obtaining industry-by-industry tax in certain Individual Income Tax area, calculating obtains the pillar industry index, Including:
Industry-by-industry tax in certain Individual Income Tax area is obtained, and the tax is ranked up, obtains paying taxes in the tax area The maximum industry of volume;
The maximum definition of industry of tax in the tax area is the pillar industry in the tax area, and calculates its value of paying taxes;
The value of paying taxes for calculating the pillar industry accounts for the ratio of tax area tax, and place is normalized to the ratio Reason obtains the pillar industry index.
It is preferred that, the acquisition tax payer enterprise mechanism information calculates family tree index of being paid taxes described in obtaining, including:
Obtain the general headquarters of tax payer enterprise and the distribution situation information of affiliated enterprise;
Whether tax area, judge the affiliated enterprise in institute where the taxpayer is divided centered on the enterprise of general headquarters In Shu Shui areas, if it is, recording the affiliated enterprise;
The affiliated enterprise's quantity for calculating the record accounts for the ratio of the whole numbers of the enterprise of the taxpayer, and the ratio is remembered For the family tree index of paying taxes.
, should according to the second aspect of the invention there is provided a kind of tax big data excavating gear drawn a portrait based on taxpayer Device includes:
Index acquisition module, for carrying out data mining processing to taxpayer's information, obtains taxpayer's index of correlation, its In, described information index includes pillar industry index, strange land and manages index, source of tax revenue risk index, pays taxes and contribution index and pay taxes Family tree index;
Computing module, for taxpayer's index of correlation to be weighted, obtains taxpayer's comprehensive evaluation index, And taxpayer's comprehensive evaluation index is defined as taxpayer's portrait.
It is preferred that, the index acquisition module includes:
First acquisition unit, for by obtaining industry-by-industry tax in certain Individual Income Tax area, calculating to obtain the pillar row Industry index;
Second acquisition unit, for obtaining taxpayer registered address information and operation address information, determines the strange land warp Seek index;
3rd acquiring unit, for taking in relevant parameter according to taxpayer's product, creates taxpayer's source of tax revenue risk management and control mould Type, calculating obtains the source of tax revenue risk index;
4th acquiring unit, is normalized for the contribution rate of paying taxes to industry-by-industry in some region, obtains The contribution index of paying taxes;
5th acquiring unit, for obtaining tax payer enterprise mechanism information, calculates family tree index of being paid taxes described in obtaining.
It is preferred that, the computing module includes:
Setting unit, the corresponding weighted value for setting taxpayer's index of correlation respectively;
Product computing unit, for the corresponding taxpayer's index of correlation of the weighted value to be multiplied, obtains each respectively The corresponding product of individual taxpayer's index of correlation;
Weight calculation unit, for each described corresponding product of taxpayer's index of correlation to be summed up into calculating, is obtained Taxpayer's comprehensive evaluation index, and taxpayer's comprehensive evaluation index is defined as taxpayer's portrait.
It is preferred that, the first acquisition unit includes:
Sequencing unit, is ranked up for obtaining industry-by-industry tax in certain Individual Income Tax area, and to the tax, obtains The maximum industry of tax in the tax area;
First computation subunit, for by pillar row that the maximum definition of industry of tax in the tax area is the tax area Industry, and calculate its value of paying taxes;
Second computation subunit, the ratio of tax area tax is accounted for for calculating the value of paying taxes of the pillar industry, right The ratio, which is normalized, obtains the pillar industry index.
It is preferred that, the 5th acquiring unit includes:
Acquisition of information subelement, for obtaining the general headquarters of tax payer enterprise and the distribution situation information of affiliated enterprise;
Judgment sub-unit, tax area where for dividing the taxpayer centered on the enterprise of general headquarters judges described point Whether Zhi Qiye is in the tax area, if it is, recording the affiliated enterprise;
3rd computation subunit, the whole numbers of the enterprise of the taxpayer are accounted for for calculating affiliated enterprise's quantity of the record Ratio, the ratio is designated as the family tree index of paying taxes.
Compared to prior art, the present invention carries out data mining processing to taxpayer's information, obtains taxpayer's index of correlation, Wherein, described information index includes pillar industry index, strange land and manages index, source of tax revenue risk index, pays taxes and contribution index and receive Tax family tree index;Taxpayer's index of correlation is weighted, taxpayer's comprehensive evaluation index is obtained.Above-mentioned index It is excavation and processing based on taxpayer's relevant information to calculate acquisition process, i.e., data digging method has been applied into tax jurisdiction Field;Taxpayer's comprehensive evaluation index is obtained by weighted calculation after above-mentioned index is obtained, can be to the information of taxpayer Comprehensive description has been carried out, the foundation of scientific management is provided for tax jurisdiction department.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow for tax big data method for digging drawn a portrait based on taxpayer that the embodiment of the present invention one is provided Schematic diagram;
Fig. 2 is the schematic flow sheet for obtaining index in S11 steps in the corresponding Fig. 1 of the embodiment of the present invention two;
Fig. 3 is the schematic flow sheet of the Calculation Estimation index in S12 steps in the corresponding Fig. 1 of the embodiment of the present invention two;
Fig. 4 is the structural representation for the tax big data excavating gear drawn a portrait based on taxpayer that embodiment three is provided.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
Term " first " and " second " in description and claims of this specification and above-mentioned accompanying drawing etc. are to be used for area Not different objects, rather than for describing specific order.In addition term " comprising " and " having " and their any deformations, It is intended to cover non-exclusive include.For example contain the process of series of steps or unit, method, system, product or set It is standby not to be set in the step of having listed or unit, but the step of may include not list or unit.
Embodiment one
It is a kind of tax big data method for digging drawn a portrait based on taxpayer that the embodiment of the present invention one is provided referring to Fig. 1, This method comprises the following steps:
S11, to taxpayer's information carry out data mining processing, obtain taxpayer's index of correlation, wherein, described information index Manage index, source of tax revenue risk index including pillar industry index, strange land, pay taxes contribution index and family tree index of paying taxes;
It is understood that getting taxpayer's relevant information, and the information to getting using the method for data mining Five indexes for having obtained evaluating taxpayer are calculated or handled, i.e., those industries are judged according to available data in certain Individual Income Tax area Compare popular, and pillar industry index is obtained with reference to tax;The distance between managed according to taxpayer's hour of log-on and strange land Show that index is managed in strange land;Source of tax revenue risk index is obtained according to the height of burden of taxation;According to region tax position, taxpayer is judged Contribution margin of paying taxes, obtain contribution index of paying taxes;Tax payer enterprise mechanism information is obtained, family tree of being paid taxes described in obtaining is calculated and refers to Number.It corresponding information can be all based on obtaining with each above-mentioned index after data mining could calculate processing obtaining.
S12, taxpayer's index of correlation is weighted, obtains taxpayer's comprehensive evaluation index, and will be described Taxpayer's comprehensive evaluation index is defined as taxpayer's portrait.
Specifically, drawing different numerical value according to different indexes, each exponential weighting, which is added summation, obtains taxpayer Comprehensive evaluation index, clearly can objectively describe the behavioural characteristic of some taxpayer.
By technical scheme disclosed in the embodiment of the present invention one, data mining processing is carried out to taxpayer's information, acquisition is received Tax people's index of correlation, wherein, described information index includes pillar industry index, strange land and manages index, source of tax revenue risk index, pays taxes Contribution index and family tree index of paying taxes;Taxpayer's index of correlation is weighted, taxpayer's overall merit is obtained and refers to Number.The calculating acquisition process of above-mentioned index is excavation and processing based on taxpayer's relevant information, i.e., answer data digging method Tax jurisdiction field is used;Taxpayer's comprehensive evaluation index is obtained by weighted calculation after above-mentioned index is obtained, can be with Information to taxpayer has carried out comprehensive description, and the foundation of scientific management is provided for tax jurisdiction department.
Embodiment two
The detailed process of S11 to S12 steps with reference to described in the embodiment of the present invention one and Fig. 1, and referring to Fig. 2, institute State step S11 and data mining processing is carried out to taxpayer's information, obtain taxpayer's index of correlation, specifically include:
S111, by obtaining industry-by-industry tax in certain Individual Income Tax area, calculating obtains the pillar industry index;
Specifically it can be understood as following steps:
Industry-by-industry tax in certain Individual Income Tax area is obtained, and the tax is ranked up, obtains paying taxes in the tax area The maximum industry of volume;
The maximum definition of industry of tax in the tax area is the pillar industry in the tax area, and calculates its value of paying taxes;
The value of paying taxes for calculating the pillar industry accounts for the ratio of tax area tax, and place is normalized to the ratio Reason obtains the pillar industry index.
Also, the purpose of normalized is the standard value that the value for obtaining calculating is normalized between 1-100, is used as branch The quantitative values of post index sector.
S112, acquisition taxpayer's registered address information and operation address information, determine that index is managed in the strange land;
Specifically, according to the gentle operation address of taxpayer registered address information as benchmark, with tax area where the taxpayer Bounds in do inscribed circle, using inscribed circle radius as evaluate the taxpayer whether belong to strange land operation evaluation threshold value, If belonging to strange land operation, calculate strange land operation distance and manage index with the multiple of inscribed circle radius to calculate acquisition strange land, together When be also normalized.
S113, according to taxpayer's product take in relevant parameter, create taxpayer's source of tax revenue risk management and control model, calculating obtain institute State source of tax revenue risk index;
Specifically, to set up taxpayer's source of tax revenue risk management and control model, it is necessary to which first those clear and definite factors can be to source of tax revenue wind Danger has a certain impact power, is used as foundation by the use of some factors being related in taxpayer's accounting statement in an embodiment of the present invention The major parameter of risk model, including the product sales revenue of tax payer enterprise, cost of goods sold, opening inventory, phase Last stock, Tax declaration data etc..These data and parameter are carried out to analyze and handle accordingly, are input in modeling software, The present invention is not limited to specific software type, sets up taxpayer's source of tax revenue risk management and control model.Then, to taxpayer's information Excavated, obtain taxpayer related " source of tax revenue is not put in storage in accumulation ", " stock-sales ratio ", the index such as " rate of gross profit ", by will be above-mentioned The corresponding numerical value of index and information are input in source of tax revenue risk management and control model, can analyze stock's increase and decrease related to profit Information concerning taxes risk and producing cause present in tax source management.Meanwhile, calculate to obtain to accumulate respectively and be not put in storage the source of tax revenue and storehouse Rate is deposited, sets accumulation not to be put in storage source of tax revenue threshold value according to enterprise operation scale, while stock-sales ratio early warning value is set, when described tired The long-pending source of tax revenue of not being put in storage is not put in storage source of tax revenue threshold value more than setting accumulation, and the stock-sales ratio is more than 2 times of setting stock-sales ratio early warning value, It is concerning taxes venture business that the taxpayer for meeting above-mentioned requirements, which is screened,;And rate of gross profit is also screened as concerning taxes less than industry early warning value Venture business, is set screening, the setting situation root of occurrence for the corresponding concerning taxes risk index of enterprise of concerning taxes risk Set, such as when emphasis carries out concerning taxes risk management in tax jurisdiction system, then the index is set according to being actually needed It is to improve its proportion for higher value.Equally, it is normalized simultaneously in acquisition source of tax revenue risk index, is subsequent quantitation value meter It is considered preparation.
S114, the contribution rate of paying taxes to industry-by-industry in some region are normalized, and obtain the contribution of paying taxes Index;
Specifically, contribution rate=assessed income tax/main business income, contribution rate reflection is that enterprise income tax is paid Tax and the proportionate relationship of income, the index paid close attention to the most when carrying out tax payment evaluation to income tax.Calculate in certain Individual Income Tax area The contribution rate of paying taxes of each industry, according to rate tax payment assessed height of paying taxes, obtains pillar industry and pays taxes contribution rate and to normalize Processing obtains contribution index of paying taxes.
S115, acquisition tax payer enterprise mechanism information, calculate family tree index of being paid taxes described in obtaining.
The step is specifically included:
Obtain the general headquarters of tax payer enterprise and the distribution situation information of affiliated enterprise;
Whether tax area, judge the affiliated enterprise in institute where the taxpayer is divided centered on the enterprise of general headquarters In Shu Shui areas, if it is, recording the affiliated enterprise;
The affiliated enterprise's quantity for calculating the record accounts for the ratio of the whole numbers of the enterprise of the taxpayer, and the ratio is remembered For the family tree index of paying taxes.
It is understood that the pillar industry index obtained in embodiments of the present invention, strange land manage index, source of tax revenue risk Index, pay taxes contribution index and family tree index this five indexes of paying taxes, normalized will have been carried out respectively, i.e., has been referred to each The standard value that number is normalized between 1-100, so can carry out quantitative values analysis for taxpayer's portrait.
Accordingly, referring to Fig. 3, taxpayer's index of correlation is weighted the step S12, obtains taxpayer Comprehensive evaluation index, is specifically included:
S121, the corresponding weighted value that taxpayer's index of correlation is set respectively;
S122, the corresponding taxpayer's index of correlation of the weighted value is multiplied, each taxpayer obtained respectively related The corresponding product of index;
S123, each described corresponding product of taxpayer's index of correlation summed up into calculating, obtain taxpayer and integrate to comment Valency index, and taxpayer's comprehensive evaluation index is defined as taxpayer's portrait.
For example, drawing different numerical value according to different indexes, each exponential weighting is added summation, paid taxes The normalization standard value of people's portrait, and the value is between 1-100, according to taxpayer draw a portrait standard value size be divided into it is excellent, good, In, four ranks such as difference, you can to refer to following dividing mode:By 10-25 be divided into it is poor, 25-50 is divided into, will 50-75 be divided into it is good, 75-100 is divided into excellent, equally can stress difference in tax jurisdiction, to divided rank point Interval of values is adjusted, and the present invention is without limitation.
Can be different according to the purpose of tax jurisdiction, set the weighted value of each index to stress difference, such as in tax revenue pipe Mainly taxpayer's geography information is managed during reason, then the power of index and family tree index of paying taxes is managed in corresponding strange land Weight values relative can be improved, and specific setting of the present invention to the corresponding weighted value of each index is not limited.Meanwhile, Ke Yigen According to needs, the setting with materialization is carried out to taxpayer's comprehensive evaluation index, such as tax jurisdiction needs to refine to some time, Some season or some moon, then need to carry out corresponding time restriction, this hair of detailed process when obtaining above-mentioned equivalency index It is bright not repeat.
Technical scheme disclosed according to embodiments of the present invention two, by according to excavate obtain specific taxpayer's information, than Such as get product income information, tax value information, geographical location information, calculating processing is obtained respectively for corporate facility information etc. Pillar industry index, strange land manage index, source of tax revenue risk index, pay taxes contribution index and family tree index of paying taxes;Pay taxes described People's index of correlation is weighted, and obtains taxpayer's comprehensive evaluation index.The calculating acquisition process of above-mentioned index is to be based on receiving The excavation and processing of tax people's relevant information, i.e., be applied to tax jurisdiction field by data digging method;Obtaining above-mentioned finger Taxpayer's comprehensive evaluation index is obtained by weighted calculation after number, comprehensive description can have been carried out to the information of taxpayer, be tax Receive the foundation that administrative department provides scientific management.
Embodiment three
It is corresponding with a kind of taxpayer's information mining method that the embodiment of the present invention one and embodiment two are provided, it is of the invention Embodiment three additionally provides a kind of taxpayer's information excavating device, and referring to Fig. 4, the device includes:
Index acquisition module 1, for carrying out data mining processing to taxpayer's information, obtains taxpayer's index of correlation, its In, described information index includes pillar industry index, strange land and manages index, source of tax revenue risk index, pays taxes and contribution index and pay taxes Family tree index;
Computing module 2, for taxpayer's index of correlation to be weighted, obtains taxpayer's overall merit and refers to Number, and taxpayer's comprehensive evaluation index is defined as taxpayer's portrait.
Accordingly, the index acquisition module 1 includes:
First acquisition unit 11, for by obtaining industry-by-industry tax in certain Individual Income Tax area, calculating to obtain the pillar Index sector;
Second acquisition unit 12, for obtaining taxpayer registered address information and operation address information, determines the strange land Manage index;
3rd acquiring unit 13, for taking in relevant parameter according to taxpayer's product, creates taxpayer's source of tax revenue risk management and control Model, calculating obtains the source of tax revenue risk index;
4th acquiring unit 14, is normalized for the contribution rate of paying taxes to industry-by-industry in some region, obtains To the contribution index of paying taxes;
5th acquiring unit 14, for obtaining tax payer enterprise mechanism information, calculates family tree index of being paid taxes described in obtaining.
Corresponding, the computing module 2 includes:
Setting unit 21, the corresponding weighted value for setting taxpayer's index of correlation respectively;
Product computing unit 22, for the corresponding taxpayer's index of correlation of the weighted value to be multiplied, is obtained respectively Each corresponding product of taxpayer's index of correlation;
Weight calculation unit 23, for each described corresponding product of taxpayer's index of correlation to be summed up into calculating, is obtained Taxpayer's portrait is defined as to taxpayer's comprehensive evaluation index, and by taxpayer's comprehensive evaluation index.
Specifically, the first acquisition unit includes:
Sequencing unit, is ranked up for obtaining industry-by-industry tax in certain Individual Income Tax area, and to the tax, obtains The maximum industry of tax in the tax area;
First computation subunit, for by pillar row that the maximum definition of industry of tax in the tax area is the tax area Industry, and calculate its value of paying taxes;
Second computation subunit, the ratio of tax area tax is accounted for for calculating the value of paying taxes of the pillar industry, right The ratio, which is normalized, obtains the pillar industry index.
Accordingly, the 5th acquiring unit includes:
Acquisition of information subelement, for obtaining the general headquarters of tax payer enterprise and the distribution situation information of affiliated enterprise;
Judgment sub-unit, tax area where for dividing the taxpayer centered on the enterprise of general headquarters judges described point Whether Zhi Qiye is in the tax area, if it is, recording the affiliated enterprise;
3rd computation subunit, the whole numbers of the enterprise of the taxpayer are accounted for for calculating affiliated enterprise's quantity of the record Ratio, the ratio is designated as the family tree index of paying taxes.
In embodiments of the invention three, data mining processing is carried out to taxpayer's information in index acquisition module, obtained Taken pillar industry index, strange land to manage index, source of tax revenue risk index, pay taxes contribution index and family tree index of paying taxes;Calculating Above-mentioned taxpayer's index of correlation is weighted in module, taxpayer's comprehensive evaluation index is obtained.The calculating of above-mentioned index Acquisition process is excavation and processing based on taxpayer's relevant information, i.e., data digging method has been applied into tax jurisdiction neck Domain;Taxpayer's comprehensive evaluation index is obtained by weighted calculation after above-mentioned index is obtained, the information of taxpayer can be entered Comprehensive description is gone, the foundation of scientific management is provided for tax jurisdiction department.
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other Between the difference of embodiment, each embodiment identical similar portion mutually referring to.For device disclosed in embodiment For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part It is bright.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or using the present invention. A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one The most wide scope caused.

Claims (10)

1. a kind of tax big data method for digging drawn a portrait based on taxpayer, it is characterised in that this method includes:
Data mining processing is carried out to taxpayer's information, taxpayer's index of correlation is obtained, wherein, taxpayer's index of correlation bag Include pillar industry index, strange land manage index, source of tax revenue risk index, pay taxes contribution index and family tree index of paying taxes;
Addition is weighted to taxpayer's index of correlation, taxpayer's comprehensive evaluation index is obtained, and the taxpayer is comprehensive Close evaluation number and be defined as taxpayer's portrait.
2. according to the method described in claim 1, it is characterised in that described that data mining processing is carried out to taxpayer's information, obtain Taxpayer's index of correlation is taken, including:
By obtaining industry-by-industry tax in certain Individual Income Tax area, calculating obtains the pillar industry index;
Taxpayer's registered address information and operation address information are obtained, determines that index is managed in the strange land;
Relevant parameter is taken according to taxpayer's product, taxpayer's source of tax revenue risk management and control model is created, calculating obtains the source of tax revenue wind Dangerous index;
Contribution rate of paying taxes to industry-by-industry in some region is normalized, and obtains the contribution index of paying taxes;
Tax payer enterprise mechanism information is obtained, family tree index of being paid taxes described in obtaining is calculated.
3. according to the method described in claim 1, it is characterised in that described that phase is weighted to taxpayer's index of correlation Plus, taxpayer's comprehensive evaluation index is obtained, and taxpayer's comprehensive evaluation index is defined as taxpayer's portrait, including:
The corresponding weighted value of taxpayer's index of correlation is set respectively;
The corresponding taxpayer's index of correlation of the weighted value is multiplied, each taxpayer's index of correlation is obtained respectively corresponding Product;
Each described corresponding product of taxpayer's index of correlation is summed up into calculating, taxpayer's comprehensive evaluation index is obtained, and Taxpayer's comprehensive evaluation index is defined as taxpayer's portrait.
4. method according to claim 2, it is characterised in that described to be paid taxes by obtaining industry-by-industry in certain Individual Income Tax area Volume, calculating obtains the pillar industry index, including:
Industry-by-industry tax in certain Individual Income Tax area is obtained, and the tax is ranked up, tax is obtained in the tax area most Big industry;
The maximum definition of industry of tax in the tax area is the pillar industry in the tax area, and calculates its value of paying taxes;
The value of paying taxes for calculating the pillar industry accounts for the ratio of tax area tax, and the ratio is normalized To the pillar industry index.
5. method according to claim 2, it is characterised in that the acquisition tax payer enterprise mechanism information, calculates and obtains The family tree index of paying taxes, including:
Obtain the general headquarters of tax payer enterprise and the distribution situation information of affiliated enterprise;
Whether tax area, judge the affiliated enterprise in the tax where the taxpayer is divided centered on the enterprise of general headquarters In area, if it is, recording the affiliated enterprise;
The affiliated enterprise's quantity for calculating the record accounts for the ratio of the whole numbers of the enterprise of the taxpayer, and the ratio is designated as into institute State family tree index of paying taxes.
6. a kind of tax big data excavating gear drawn a portrait based on taxpayer, it is characterised in that the device includes:
Index acquisition module, for carrying out data mining processing to taxpayer's information, obtains taxpayer's index of correlation, wherein, institute The index of correlation is stated to manage index, source of tax revenue risk index including pillar industry index, strange land, pay taxes contribution index and family tree of paying taxes refers to Number;
Computing module, for being weighted addition to taxpayer's index of correlation, obtains taxpayer's comprehensive evaluation index, and will Taxpayer's comprehensive evaluation index is defined as taxpayer's portrait.
7. method according to claim 6, it is characterised in that the index acquisition module includes:
First acquisition unit, for by obtaining industry-by-industry tax in certain Individual Income Tax area, calculating to obtain the pillar industry and referred to Number;
Second acquisition unit, for obtaining taxpayer registered address information and operation address information, determines that the strange land is managed and refers to Number;
3rd acquiring unit, for taking in relevant parameter according to taxpayer's product, creates taxpayer's source of tax revenue risk management and control model, meter Calculation obtains the source of tax revenue risk index;
4th acquiring unit, is normalized for the contribution rate of paying taxes to industry-by-industry in some region, obtains described Pay taxes contribution index;
5th acquiring unit, for obtaining tax payer enterprise mechanism information, calculates family tree index of being paid taxes described in obtaining.
8. device according to claim 6, it is characterised in that the computing module includes:
Setting unit, the corresponding weighted value for setting taxpayer's index of correlation respectively;
Product computing unit, for the corresponding taxpayer's index of correlation of the weighted value to be multiplied, obtains each and receives respectively The corresponding product of tax people's index of correlation;
Weight calculation unit, for each described corresponding product of taxpayer's index of correlation to be summed up into calculating, is paid taxes People's comprehensive evaluation index, and taxpayer's comprehensive evaluation index is defined as taxpayer's portrait.
9. device according to claim 7, it is characterised in that the first acquisition unit includes:
Sequencing unit, is ranked up for obtaining industry-by-industry tax in certain Individual Income Tax area, and to the tax, obtains the tax The maximum industry of tax in area;
First computation subunit, for by the pillar industry that the maximum definition of industry of tax in the tax area is the tax area, and Calculate its value of paying taxes;
Second computation subunit, the ratio of tax area tax is accounted for for calculating the value of paying taxes of the pillar industry, to described Ratio, which is normalized, obtains the pillar industry index.
10. device according to claim 7, it is characterised in that the 5th acquiring unit includes:
Acquisition of information subelement, for obtaining the general headquarters of tax payer enterprise and the distribution situation information of affiliated enterprise;
Judgment sub-unit, tax area where for dividing the taxpayer centered on the enterprise of general headquarters judges the enterprise of branch Whether industry is in the tax area, if it is, recording the affiliated enterprise;
3rd computation subunit, the ratio of the whole numbers of the enterprise of the taxpayer is accounted for for calculating affiliated enterprise's quantity of the record Value, the family tree index of paying taxes is designated as by the ratio.
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