CN107679979A - A kind of bank statement analysis and decision system - Google Patents

A kind of bank statement analysis and decision system Download PDF

Info

Publication number
CN107679979A
CN107679979A CN201710773453.1A CN201710773453A CN107679979A CN 107679979 A CN107679979 A CN 107679979A CN 201710773453 A CN201710773453 A CN 201710773453A CN 107679979 A CN107679979 A CN 107679979A
Authority
CN
China
Prior art keywords
analysis module
analysis
model analysis
early warning
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710773453.1A
Other languages
Chinese (zh)
Inventor
吴晓晴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Lingxu Mdt Infotech Ltd
Original Assignee
Suzhou Lingxu Mdt Infotech Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Suzhou Lingxu Mdt Infotech Ltd filed Critical Suzhou Lingxu Mdt Infotech Ltd
Priority to CN201710773453.1A priority Critical patent/CN107679979A/en
Publication of CN107679979A publication Critical patent/CN107679979A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06Q40/02Banking, e.g. interest calculation or account maintenance
    • 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
    • G06F16/26Visual data mining; Browsing structured data

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Technology Law (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention disclose a kind of bank statement analysis and decision system, including the income-expenditure model analysis module divided into of system, wholesale data model analysis module, wage model analysis module, festivals or holidays model analysis module, trading frequency model analysis module, suspect itself Trading Model analysis module, whole volume are opened an account model analysis module, credit card model analysis module to be gone back, geographical model analysis module of merchandising and relation loop model analysis module.By the above-mentioned means, the present invention provides a kind of bank statement analysis and decision system, there is provided a variety of Data Analysis Models, with different method and principle, all angles carry out network analysis to bank statement, and the system makes analysis result is graphically presented, intuitively, it is understandable, easily judge.

Description

A kind of bank statement analysis and decision system
Technical field
The present invention relates to computer realm, more particularly to a kind of bank statement analysis and decision system.
Background technology
With the development of the social economy, the progressively infiltration of Digital Life.Any Capital Flow is all essential and silver-colored Direct or indirect relation occurs for row, and then leaves some vestiges.Most occupational crime cases all have with property benefits Close, in post Criminal Investigation, accurately collect these vestiges and reasonably analyzed, turn into the key point handled a case.
Bank statement inquiry is an important process of investigation department, and many case clues and evidence derive from this, its Importance is self-evident.In the preliminary investigation stage, by inquiring about bank statement, personality, life that respondent obtains can be fully understanded The information such as rule, social circle, include the natural wages income and family assets situation of its relatives, be compared with spending situation, Judge that its fund that keeps accounts whether there is problem.In addition, being recorded by bank statement reclaimed water paying electric charge, look into its house property or live Place, content is inquired about with reference to house property to judge respondent's house property situation.It can also find out and adjusted by transferring its Credit Statement Situations such as looking into the place, hotel accommodations, Motor Maintenance maintenance that people often comes in and goes out, grasps its social interaction activity and particular kind of relationship People.
In query process, it often may require that his staff assists inquiry, can just smoothly complete.For some quantity compared with Greatly, the cumbersome inquiry of program, some even miss out partial query object.
In addition, manual analysis is difficult to making horizontal comparison, the in-depth analysis of particular transaction, suspicious money between interlock account Flow direction tracking of gold etc..
The content of the invention
The present invention solves the technical problem of provide a kind of bank statement analysis and decision system, there is provided a variety of data point Model is analysed, with different method and principle, all angles carry out network analysis to bank statement, and the system uses the side of chart Analysis result is presented in formula, intuitively, understandable, easily judges.
In order to solve the above technical problems, one aspect of the present invention is:A kind of bank statement analysis is provided to determine Plan system, including system divide into income-expenditure model analysis module, wholesale data model analysis module, wage model analysis mould Block, festivals or holidays model analysis module, trading frequency model analysis module, suspect itself Trading Model analysis module, whole volume are opened Family model analysis module, credit card model analysis module to be gone back, transaction geographical model analysis module and relation loop model analysis Module, the income-expenditure model analysis module is used to judge the anomaly of income expenditure and is shown with chart, described Wholesale data model analysis module is used to analyze the larger data of number of deals and be shown with chart, the wage model point Analysis module is used for the wage situation for analyzing object, determines whether the income beyond wage and is shown with chart, and the section is false Day model analysis module, which is used to taking in branch artificial situation to festivals or holidays, carries out statistical analysis, determine whether abnormal income with spending and with Chart is shown, and the trading frequency model analysis module is used for the object for analyzing transaction dealing, transaction count, judges have Situation without exception is simultaneously shown with chart, and the suspect itself Trading Model analysis module is used to analyze suspect's different cards With the trading situation of account and be shown with chart, whole volume model analysis module of opening an account is used to analyzing suspect and opened an account volume Situation is simultaneously shown with chart, and the credit card model analysis module to be gone back is used to inquire about data to be gone back and be opened up with chart Show, the transaction geographical model analysis module is used to show loco on map, and the relation loop model analysis module is used Relation between object is analyzed from transaction data is simultaneously shown with chart.
In a preferred embodiment of the present invention, the bill of the income-expenditure model analysis module statistical analysis object is received Enter and pay data, with formula | (income-expenditure) * 100/ (income+expenditure)/2 | the revenue and expenditure that % calculates analysis object deviates system Number, the revenue and expenditure ratio of revenue and expenditure coefficient of deviation and analysis object is subjected to numeric ratio compared with the revenue and expenditure that will be greater than revenue and expenditure than numerical value deviates system Number is shown with broken line diagram form.
In a preferred embodiment of the present invention, the wholesale data model analysis module is set big according to analysis personnel Specified number obtains the bill detail for analyzing object, taking-up is not less than the revenue and expenditure detailed data of wholesale data early warning value simultaneously according to early warning value Shown with broken line diagram form.
In a preferred embodiment of the present invention, the income that the wage model analysis module is set according to analysis personnel is pre- Alert value and comparing in the bill of analysis object, the data item more than income early warning value are presented in the graph, the income Early warning value includes wage income and miscellaneous receipt.
In a preferred embodiment of the present invention, the section that the festivals or holidays model analysis module is set according to analysis personnel is false Day early-warning parameterses and comparing in the bill of analysis object, chart is presented on by the data item more than festivals or holidays early-warning parameterses In, the early-warning parameterses include festivals or holidays elasticity number of days, festivals or holidays early warning income and festivals or holidays early warning expenditure.
In a preferred embodiment of the present invention, the friendship that the trading frequency model analysis module is set according to analysis personnel Easy periodic regime extraction and analysis object bill transaction count is simultaneously presented in the graph, and the trading frequency model analysis module is also set Two level dimension is equipped with, the two level dimension includes time dimension, transaction dimension and personage's dimension.
In a preferred embodiment of the present invention, the suspect itself Trading Model analysis module is set according to analysis personnel The block trade early warning value put and comparing in the bill of analysis object, by the data item presentation more than block trade early warning value In the graph.
In a preferred embodiment of the present invention, whole volume model analysis module of opening an account is opened according to what analysis personnel were set Family volume early warning value is presented in the graph with comparing, the data item that the volume of opening an account is exceeded to early warning value in the bill of analysis object.
In a preferred embodiment of the present invention, the credit card model analysis module to be gone back is set according to analysis personnel Credit card treats comparing in bill of the repayment amount early warning value with analyzing object, will treat repayment amount early warning value more than credit card Data item present in the graph.
In a preferred embodiment of the present invention, the wholesale that the relation loop model analysis module is set according to analysis personnel Comparing in bill of the early warning value with analyzing object of merchandising, the trading object title more than block trade early warning value is presented on In chart, while count All Activity object and analyze the transaction count between object, transaction count value is converted in chart The trading object and the thickness value for analyzing the connecting line between cashing.
The beneficial effects of the invention are as follows:A kind of bank statement analysis and decision system provided by the invention, there is provided a variety of data Analysis model, with different method and principle, all angles carry out network analysis to bank statement, and the system uses chart Analysis result is presented in mode, intuitively, understandable, easily judges.
Embodiment
The technical scheme in the embodiment of the present invention will be clearly and completely described below, it is clear that described implementation Example is only the part of the embodiment of the present invention, rather than whole embodiments.It is common based on the embodiment in the present invention, this area All other embodiment that technical staff is obtained under the premise of creative work is not made, belong to the model that the present invention protects Enclose.
The embodiment of the present invention includes:
A kind of bank statement analysis and decision system, including income-expenditure model analysis module, the wholesale data that system is divided into Model analysis module, wage model analysis module, festivals or holidays model analysis module, trading frequency model analysis module, suspect Itself Trading Model analysis module, whole volume open an account model analysis module, credit card model analysis module to be gone back, transaction geographic model Analysis module and relation loop model analysis module, the income-expenditure model analysis module are used for the exception for judging income expenditure Phenomenon is simultaneously shown with chart, and the wholesale data model analysis module is used to analyze the larger data of number of deals and to scheme Table is shown, and the wage model analysis module is used for the wage situation for analyzing object, determines whether the income beyond wage And be shown with chart, the festivals or holidays model analysis module is used to take in festivals or holidays the progress statistical analysis of branch artificial situation, Abnormal income is determined whether with paying wages and being shown with chart, and the trading frequency model analysis module is used for analysis transaction and come Past object, transaction count, determine whether abnormal conditions and be shown with chart, the suspect itself Trading Model point Analysis module is used to analyze the trading situation of suspect's different cards and account and is shown with chart, and the whole volume is opened an account model point Analysis module is used to analyzing suspect to open an account volume situation and to be shown with chart, and the credit card model analysis module to be gone back is used for Inquire about data to be gone back and be shown with chart, the transaction geographical model analysis module is used to show transaction ground on map Point, the relation loop model analysis module are shown for the relation between analyzing object from transaction data and with chart.
Preferably, the bill receipts and expenditures data of the income-expenditure model analysis module statistical analysis object, with public affairs Formula | (income-expenditure) * 100/ (income+expenditure)/2 | % calculates the revenue and expenditure coefficient of deviation of analysis object, by revenue and expenditure coefficient of deviation With analyzing the revenue and expenditure of object than carrying out numeric ratio compared with the revenue and expenditure coefficient of deviation that will be greater than revenue and expenditure than numerical value is shown with broken line diagram form Show.
Preferably, the wholesale data early warning value that the wholesale data model analysis module is set according to analysis personnel, is obtained It is detailed to analyze the bill of object, takes out the revenue and expenditure detailed data not less than wholesale data early warning value and is shown with broken line diagram form.
Preferably, account of the income early warning value that the wage model analysis module is set according to analysis personnel with analyzing object Comparing in list, the data item more than income early warning value is presented in the graph, the income early warning value includes wage income And miscellaneous receipt.
Preferably, the festivals or holidays model analysis module is according to the festivals or holidays early-warning parameterses that analysis personnel are set and analysis pair Comparing in the bill of elephant, it will be presented in the graph more than the data item of festivals or holidays early-warning parameterses, the early-warning parameterses include Festivals or holidays elasticity number of days, festivals or holidays early warning income and festivals or holidays early warning expenditure.
Preferably, the transaction cycle scope extraction and analysis that the trading frequency model analysis module is set according to analysis personnel Object bill transaction count is simultaneously presented in the graph, and the trading frequency model analysis module is additionally provided with two level dimension, described Two level dimension includes time dimension, transaction dimension and personage's dimension.
Preferably, the block trade early warning value that the suspect itself Trading Model analysis module is set according to analysis personnel Comparing in bill with analyzing object, it will be presented in the graph more than the data item of block trade early warning value.
Preferably, the whole volume open an account model analysis module according to analysis personnel set open an account volume early warning value with analysis pair Comparing in the bill of elephant, the data item that the volume of opening an account is exceeded to early warning value are presented in the graph.
Preferably, the credit card that the credit card model analysis module to be gone back is set according to analysis personnel treats that repayment amount is pre- Alert value and comparing in the bill of analysis object, will treat that the data item of repayment amount early warning value is presented on chart more than credit card In.
Preferably, the relation loop model analysis module is according to the block trade early warning value that analysis personnel are set and analysis pair It comparing in the bill of elephant, will be presented in the graph more than the trading object title of block trade early warning value, while count institute There is trading object and analyze the transaction count between object, transaction count value is converted to the trading object and analysis in chart The thickness value of connecting line between cashing.
In summary, the invention provides a kind of bank statement analysis and decision system, there is provided a variety of Data Analysis Models, fortune With different method and principle, all angles carry out network analysis to bank statement, and the system makes graphically to present point Result is analysed, it is intuitively, understandable, easily judge.
Embodiments of the invention are the foregoing is only, are not intended to limit the scope of the invention, it is every to utilize this hair The equivalent structure or equivalent flow conversion that bright description is made, or directly or indirectly it is used in other related technology necks Domain, it is included within the scope of the present invention.

Claims (10)

  1. A kind of 1. bank statement analysis and decision system, it is characterised in that the income-expenditure model analysis module divided into including system, Wholesale data model analysis module, wage model analysis module, festivals or holidays model analysis module, trading frequency model analysis mould Block, suspect itself Trading Model analysis module, whole volume open an account model analysis module, credit card model analysis module to be gone back, hand over Easy geographical model analysis module and relation loop model analysis module, the income-expenditure model analysis module are used to judge to take in The anomaly of expenditure is simultaneously shown with chart, and the wholesale data model analysis module is larger for analyzing number of deals Data are simultaneously shown with chart, and the wage model analysis module is used for the wage situation for analyzing object, determines whether and exceeds The income of wage is simultaneously shown with chart, and the festivals or holidays model analysis module is used to take in festivals or holidays the progress of branch artificial situation Statistical analysis, abnormal income is determined whether with paying wages and being shown with chart, the trading frequency model analysis module is used for The object of analysis transaction dealing, transaction count, determine whether abnormal conditions and be shown with chart, the suspect itself Trading Model analysis module is used to analyze the trading situation of suspect's different cards and account and is shown with chart, the whole volume Model analysis module of opening an account is used to analyzing suspect to open an account volume situation and to be shown with chart, the credit card model to be gone back point Analysis module is used to inquire about data to be gone back and be shown with chart, and the transaction geographical model analysis module is used to show on map Show loco, the relation loop model analysis module is entered for the relation between analyzing object from transaction data and with chart Row displaying.
  2. 2. bank statement analysis and decision system according to claim 1, it is characterised in that the income-expenditure model analysis The bill receipts and expenditures data of module statistical analysis object, with formula | (income-expenditure) * 100/ (income+expenditure)/2 | % The revenue and expenditure coefficient of deviation for analyzing object is calculated, by the revenue and expenditure of revenue and expenditure coefficient of deviation and analysis object than carrying out numeric ratio compared with by greatly Shown in revenue and expenditure than the revenue and expenditure coefficient of deviation of numerical value with broken line diagram form.
  3. 3. bank statement analysis and decision system according to claim 1, it is characterised in that the wholesale data model analysis The wholesale data early warning value that module is set according to analysis personnel, obtains the bill detail of analysis object, and taking-up is not less than big specified number According to early warning value revenue and expenditure detailed data and shown with broken line diagram form.
  4. 4. bank statement analysis and decision system according to claim 1, it is characterised in that the wage model analysis module Comparing in bill of the income early warning value set according to analysis personnel with analyzing object, by more than the data of income early warning value Item is presented in the graph, and the income early warning value includes wage income and miscellaneous receipt.
  5. 5. bank statement analysis and decision system according to claim 1, it is characterised in that the festivals or holidays model analysis mould Root tuber will exceed festivals or holidays early warning according to the festivals or holidays early-warning parameterses that analysis personnel are set and comparing in the bill of analysis object The data item of parameter is presented in the graph, and it is false that the early-warning parameterses include festivals or holidays elasticity number of days, festivals or holidays early warning income and section Day early warning expenditure.
  6. 6. bank statement analysis and decision system according to claim 1, it is characterised in that the trading frequency model analysis Module according to analysis personnel set transaction cycle scope extraction and analysis object bill transaction count and present in the graph, it is described Trading frequency model analysis module is additionally provided with two level dimension, and the two level dimension includes time dimension, transaction dimension and people Thing dimension.
  7. 7. bank statement analysis and decision system according to claim 1, it is characterised in that the suspect itself transaction mould Type analysis module will exceed big according to the block trade early warning value that analysis personnel are set and comparing in the bill of analysis object The data item of volume transaction early warning value is presented in the graph.
  8. 8. bank statement analysis and decision system according to claim 1, it is characterised in that the whole volume is opened an account model analysis Comparing in bill of the volume early warning value of opening an account that module is set according to analysis personnel with analyzing object, exceedes early warning by the volume of opening an account The data item of value is presented in the graph.
  9. 9. bank statement analysis and decision system according to claim 1, it is characterised in that the credit card model to be gone back point The credit card that analysis module is set according to analysis personnel treats comparing in bill of the repayment amount early warning value with analyzing object, will be super Cross credit card and treat that the data item of repayment amount early warning value is presented in the graph.
  10. 10. bank statement analysis and decision system according to claim 1, it is characterised in that the relation loop model analysis Module will exceed block trade according to the block trade early warning value that analysis personnel are set and comparing in the bill of analysis object The trading object title of early warning value is presented in the graph, while is counted All Activity object and analyzed the transaction count between object, Transaction count value is converted into the trading object in chart and analyzes the thickness value of the connecting line between cashing.
CN201710773453.1A 2017-08-31 2017-08-31 A kind of bank statement analysis and decision system Pending CN107679979A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710773453.1A CN107679979A (en) 2017-08-31 2017-08-31 A kind of bank statement analysis and decision system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710773453.1A CN107679979A (en) 2017-08-31 2017-08-31 A kind of bank statement analysis and decision system

Publications (1)

Publication Number Publication Date
CN107679979A true CN107679979A (en) 2018-02-09

Family

ID=61136144

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710773453.1A Pending CN107679979A (en) 2017-08-31 2017-08-31 A kind of bank statement analysis and decision system

Country Status (1)

Country Link
CN (1) CN107679979A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108537651A (en) * 2018-04-10 2018-09-14 深圳前海微众银行股份有限公司 Bookkeeping methods, mobile terminal and computer readable storage medium
CN109460421A (en) * 2018-10-09 2019-03-12 四川航天信息有限公司 Trade company's transaction data management method and device
CN110851586A (en) * 2019-10-22 2020-02-28 陈华 Bank operation data processing system and method, equipment and storage medium
CN110851494A (en) * 2019-10-22 2020-02-28 厦门市美亚柏科信息股份有限公司 Method and system for bill analysis transaction characteristic behavior

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101814076A (en) * 2009-07-29 2010-08-25 北京航天理想科技有限公司 Visualizing information and information correlation analysis system and establishing method
CN104301431A (en) * 2014-10-29 2015-01-21 深圳先进技术研究院 Focus crowd real-time monitoring system based on multi-source big data GIS
CN104317918A (en) * 2014-10-29 2015-01-28 深圳先进技术研究院 Composite big-data GIS (geographic information system) based abnormal behavior analysis and alarm system
CN104867055A (en) * 2015-06-16 2015-08-26 咸宁市公安局 Financial network doubtable money tracking and identifying method
CN106547838A (en) * 2016-10-14 2017-03-29 北京银丰新融科技开发有限公司 Method based on the suspicious funds transaction of fund network monitor
CN106682986A (en) * 2016-12-27 2017-05-17 南京搜文信息技术有限公司 Construction method of complex financial transaction network activity map based on big data

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101814076A (en) * 2009-07-29 2010-08-25 北京航天理想科技有限公司 Visualizing information and information correlation analysis system and establishing method
CN104301431A (en) * 2014-10-29 2015-01-21 深圳先进技术研究院 Focus crowd real-time monitoring system based on multi-source big data GIS
CN104317918A (en) * 2014-10-29 2015-01-28 深圳先进技术研究院 Composite big-data GIS (geographic information system) based abnormal behavior analysis and alarm system
CN104867055A (en) * 2015-06-16 2015-08-26 咸宁市公安局 Financial network doubtable money tracking and identifying method
CN106547838A (en) * 2016-10-14 2017-03-29 北京银丰新融科技开发有限公司 Method based on the suspicious funds transaction of fund network monitor
CN106682986A (en) * 2016-12-27 2017-05-17 南京搜文信息技术有限公司 Construction method of complex financial transaction network activity map based on big data

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108537651A (en) * 2018-04-10 2018-09-14 深圳前海微众银行股份有限公司 Bookkeeping methods, mobile terminal and computer readable storage medium
CN109460421A (en) * 2018-10-09 2019-03-12 四川航天信息有限公司 Trade company's transaction data management method and device
CN110851586A (en) * 2019-10-22 2020-02-28 陈华 Bank operation data processing system and method, equipment and storage medium
CN110851494A (en) * 2019-10-22 2020-02-28 厦门市美亚柏科信息股份有限公司 Method and system for bill analysis transaction characteristic behavior
CN110851494B (en) * 2019-10-22 2022-05-13 厦门市美亚柏科信息股份有限公司 Method and system for bill analysis transaction characteristic behavior

Similar Documents

Publication Publication Date Title
CN107679979A (en) A kind of bank statement analysis and decision system
Nawaser et al. Motivational and legal barriers of entrepreneurship development
CN107145587A (en) A kind of anti-fake system of medical insurance excavated based on big data
CN111476660B (en) Intelligent wind control system and method based on data analysis
Van Duyne et al. The emperor's cloths of disclosure: Hot money and suspect disclosures
CN105976236A (en) Loan transaction monitoring early warning method and apparatus thereof
CN110019324B (en) Method and system for generating taxpayer fund loop
Engel et al. Home firm performance after foreign investments and divestitures
Nikolosk et al. Role of banks as entity in the system for prevention of money laundering in the Macedonia
Du et al. The great opening up and the roadmap for the future: The story of China's international trade
Anvarovich Navigating the Digital Horizon: Unlocking Innovative Frontiers in Remote Banking Services
Jumagulovich et al. Procedure for Implementing Tax Control in Tax Risk Management and Tax Audits
Calcagnini et al. Determinants of bank branch expansion in Italy
CN115879548B (en) Knowledge graph construction method and system for customer identity recognition
CN111612603A (en) Suspected financial counterfeiting behavior insights and discrimination system of listed company
Berishvili Identification of Integration Processes in Conditions Economic Turbulence and their Use in Development of the Countries with Small Economy
Yi Slashing liquidity through asset purchases: Evidence from collective bargaining
CN111951105A (en) Intelligent credit wind control system based on multidimensional big data analysis
Nikodimov et al. Info-Communicative and Protective Function of the State as Combating Fraud using Sberbank Bank Cards
Dufey et al. Impact of EC 92 on European Banking: A Foreign Direct Investment Perspective
Degl'Innocenti et al. The Fear Factor: How Mafia Influences Firms’ Performance
Jensen Technology and intelligence
Birchler et al. Which swiss gnomes attract money? efficiency and reputation as performance drivers of wealth management banks
Niu et al. Research on the Debt Default Risk of Guangyi Technology
Ge et al. Research on Internal Control of Small and Medium-sized Enterprises–Luckin Coffee Inc., a Case Study

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180209