• DocumentCode
    3415967
  • Title

    Research on rough sets theory based tax data mining

  • Author

    Wang, Ying

  • Author_Institution
    MinJiang Univ., Fuzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    9-10 Oct. 2010
  • Firstpage
    13
  • Lastpage
    15
  • Abstract
    In order to conduct effectively data mining to the abnormal data in the mass tax data to get decision rules of tax information system, a decision rules mining algorithm based on positive approximation is proposed, which is based on the traditional rough set theory and the decision-making table of coordination. A practice applied in tax monitoring table in a tax department is validated, which shows that the algorithm is simple and effective.
  • Keywords
    approximation theory; data mining; decision making; decision tables; management information systems; rough set theory; taxation; decision making table; decision rule; positive approximation; rough set theory; tax data mining; tax information system; Classification algorithms; Corporate acquisitions; Monitoring; Data Mining; Reduction; Rough Set; Rules; Tax;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology and Management Engineering (FITME), 2010 International Conference on
  • Conference_Location
    Changzhou
  • Print_ISBN
    978-1-4244-9087-5
  • Type

    conf

  • DOI
    10.1109/FITME.2010.5656551
  • Filename
    5656551