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税务稽查选案中的KDD应用 被引量:2

Application of KDD on Tax Inspection Cases-Choice
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摘要 本文通过建立一个KDD模型,并综合其他方法和技术,详细介绍了以KDD技术为核心的税务稽查选案系统的开发过程,从而达到有效地利用现有资源,提高税务稽查的科学性和准确度。 Integrating some methods and technologies, one KDD model is constructed, which explains detailed the development of tax inspection system, whose key is KDD technology. It can use existing resources effectively and perform the tax inspection scientifically and accurately.
作者 陈健
出处 《系统工程》 CSCD 1999年第5期62-66,61,共6页 Systems Engineering
基金 国家自然科学基金(G040207) 杭州市国税局的资金资助
关键词 稽查选案 知识发现 税务 税收 数据库 tax inspection cases-choice,KDD,pattern
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参考文献5

  • 1俞机运,黄上腾.一个KDD应用系统的设计与实现[J].电脑与信息技术,1997,5(2):14-17. 被引量:1
  • 2Sung Ho Ha,Expert System With Application,1998年,15卷,1页
  • 3陈文伟,智能决策技术,1998年
  • 4俞机运,电脑与信息技术,1997年,2卷,14页
  • 5姚柳达,新一代决策支持系统,1993年

二级参考文献1

同被引文献11

  • 1Kou Y, Lu C, Sirwong Wattana S, et al. Survey of fraud detection techniques. In: Proc. of the 2004 International Conference on Networking, Sensing, and Control, 2004. 749-754
  • 2南加州破获保险诈欺案逮捕逾百位华人.http://www.chine-seinla.com/f/page_viewtopic/t_4616.html
  • 3Tang Y. Online Reputation Scoring from Historical Feedbacks Based on Partially-ordered Similarity. In: Electronic Commerce Research and Application. Elsevier, second revision. Jan. 2007
  • 4Chiu C, Tsai C. A web services-based collaborative scheme for credit card fraud detection. In: Proc. of 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004
  • 5Xu J,Sung A H,Liu Q. Tree based behavior monitoring for adaptive fraud detection. In: 18^th International Conference on Pattern Recognition, Vol. 1. Los Alamitos, CA, USA: IEEE Computer Society, 2006. 1208-1211
  • 6Kumar S, Spaford E H, A pattern matching model for misuse intrusion detection. In: Proceedings of the 17th National Computer Security Conference, 1994. 11-21
  • 7Wheeler R, Aitken S. Multiple algorithms for fraud detection. Knowledge Based Systems, 2000,13 (3) : 93-99
  • 8Weatherford M, Mining for fraud. IEEE Intelligent Systems, 2002,17(4) :4-6
  • 9Phua C,Gayler R, Lee V, On the Approximate Communal Fraud Scoring of Credit Applications
  • 10Phua C, Lee V, Smith K, et al. A comprehensive survey of data mining-based fraud detection research. Artificial Intelligence Review.

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