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论电子商务中选择数据挖掘技术的依据
引用本文:祝娟.论电子商务中选择数据挖掘技术的依据[J].襄樊职业技术学院学报,2007,6(6):9-11.
作者姓名:祝娟
作者单位:荆州职业技术学院,工商管理系,湖北,荆州,434020
摘    要:数据挖掘中应用的技术包括经典的统计、近邻、聚类,也包括最新发展起来的决策树、神经网络和关联规则等一些较新的方法。结合数据挖掘技术在电子商务中的应用,提出选择数据挖掘技术的两个重要依据.以便开发出有效、实用的数据挖掘系统。

关 键 词:数据挖掘技术  电子商务  依据
文章编号:1671-914X(2007)06-0009-03
修稿时间:2007-06-12

On the Basis of the Selection of Data Mining Techniques in Electronic Commerce
ZHU Juan.On the Basis of the Selection of Data Mining Techniques in Electronic Commerce[J].Journal of Xiangfan Vocational and Technical College,2007,6(6):9-11.
Authors:ZHU Juan
Institution:Department of Business Management Jingzhou Institute of Technology, Jinzhou Hubei 434020, China
Abstract:The techniques applied in data mining include some new methods such as the latest decision tree, neural network and association rules as well as classic statistics, nearest neighbour and clustering. This paper proposes two important foundations of the selection of data mining techniques, combining the application of it in electronic commerce, so as to develop effective and practical data mining system.
Keywords:data mining technique  electronic commerce  foundation
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