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数据开采技术在反洗钱系统中的应用 被引量:5

Application of Data Mining in Ani-money Laundering System
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摘要 提出反洗钱系统的实现框架,结合反洗钱系统的要求,同时介绍了数据预处理的几个关键环节,包括数据清理、数据集成。同时介绍了反洗钱系统中用到的几个关键数据开采技术,包括数据集成、数据分类、分联分析、聚类分析和可视化技术。 The: writer Puts forward a framework of a anti-money laundering system, to meet the requirement of the system. In the paper two key technologies about data pretreatment, including data cleaning and data consolidating are introduced. In addition, the paper also illustrates the five key technologies which are used in the anti -money laundering system, including data consolidating,data classification,data clustering,linkage analysis and data screening.
出处 《湖南工程学院学报(自然科学版)》 2003年第3期64-67,共4页 Journal of Hunan Institute of Engineering(Natural Science Edition)
关键词 反洗钱 数据开采 数据集成 anti-money laundering data mining data consolidating.
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参考文献3

  • 1[4]Herry G. Goldberg, Ted E. Senator: restructuring databaes for knowledge discovering by consolidation and link formation. In:proceeding of first conterence on knowledge discovery and data mining (KDD95).Montreal,AAAI Press, 1995.
  • 2[5]T.E. Senator, H. G. Goldberg, J. Wooton, and M. A.Cottiniet al. The financial crimes enforcement network AI system (FAIS): identifying potential money laundering from reports of large cash transactions. AI Magazine, 1995,16 (4) :21-39.
  • 3[6]T.F. Smith and M. S. Waterman. Identification of common molecular suhsequences. Journal of Molecular Biollgy, 1981147:195-197.

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