The Study on Rough Set Theory for Customers Churn

被引：0

作者：

Hu, Dengf ^{[1
]}

机构：

[1] Anhui Univ Finance & Econ, Sch Management, Bengbu 230135, Peoples R China

来源：

2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年

关键词：

rough set; customers churn; decision table; characteristic feature reduction;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In order to compress or reduce redundant features in customers churn, the rough set theory is introduced and a feature reduction algorithm based on the rough set is proposed. An example in customers churn is given to validate the algorithm. The results show that when the customers churn classification result is almost invariable, the main features which are more important to the churn classification can be searched by this algorithm.

引用

页码：9401 / 9404

页数：4

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