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Research on Anti-Tax Evasion System based on Union-Bank Online Payment mode

  • Yang Qifeng
  • Feng Bin
  • Song Ping
Conference paper
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 251)

Abstract

The popularity of the e-commerce facilitates the tax evasion a lot, and the anti-tax evasion work in the e-commerce area becomes urgent. We introduced a union-bank online payment mode, which can solve many problems of existing mode such as main body status, standardization and inter-bank payment. Besides, it provides a platform for some value added services such as anti-tax evasion, anti-money laundering, credit evaluation, etc. In this mode, the transaction data is centralized so that we can carry on the investigation during the online payment process. Based on this, we designed an anti-tax evasion system utilizing the data mining, OLAP and data warehouse technologies. This system can monitor the transaction dynamically and judge the tax evasion behavior by analyzing abundant transaction data according to relevant tax law, and the knowledge in the knowledge base and expert base. Beside, it collects the tax evasion rule as knowledge in order to update itself automatically.

Keywords

Credit Evaluation Data Warehouse Transaction Data History Database Transaction Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Yang Qifeng
    • 1
  • Feng Bin
    • 1
  • Song Ping
    • 1
  1. 1.Economics College of Wuhan University of TechnologyHubeiP.R.China

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