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一个基于SLIQ算法的模型及应用 被引量:5

A model and its application based on SLIQ algorithm
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摘要 针对当前银行系统应用数据挖掘的重要性,利用决策树技术构建了一个银行信用等级评估模型,并详细介绍了如何应用SLIQ算法实现。SLIQ算法的可伸缩性对于银行数据有很好的适应性。 Aiming at the wide application and signification of data mining in bank, this article constructs a model for evaluation for credit degree by decision tree in data mining. SLIQ algorithm is adapted for bank data for its retractility. This paper introduces that how to realize the model by SLIQ algorithm.
作者 万源
出处 《信息技术》 2005年第12期60-62,65,共4页 Information Technology
关键词 决策树 SLIQ算法 Gini指标 信用等级评估 decision tree SLIQ algorithm Gini index evaluation for credit degree
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参考文献6

  • 1HanJiawei MichelineKamber.数据挖掘概念与技术[M].北京:机械工业出版社,2001.152-160.
  • 2Mehta M, Agrawal R, Rissanen J.SLIQ: A Fast and Scalable Classifier for Data Mining[M]. IBM Almaden Research Center, 1996.
  • 3Riese Martin. The Gini-index as a Measure of the Goodness of Prediction[M]. Working Paper 9502, University of Linz, 1995.
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  • 5颜宏文,马瑞,晏弼成.基于信息熵构造判定树的数据挖掘算法的设计与实现[J].计算机工程与应用,2003,39(23):180-182. 被引量:13
  • 6康雷宇.数据挖掘推动银行卡业务发展[J].中国城市金融,2004(12):33-35. 被引量:2

二级参考文献3

  • 1S M Weiss,C A Kulikowski.Computer Systems That Learning:Classification and prediction Methods from statistics ,Neural Nets ,Machine Learning,and Expert Systems[M].San Mateo,CA:Morgan Kaufmann,1991.
  • 2S K Murthy.Automatic construction of decision trees from data:A multidisciplinary survey[J].Data Mining and Knowledge Discovery,1998; 2: 345-389.
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