Mining customer change model based on swarm intelligence

被引：0
|
作者：
Jin, Peng [1 ,2 ]
Zhu, Yunlong [1 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2007年 / 4682卷
基金：
中国国家自然科学基金;
关键词：
data mining; customer change mode; swarm intelligence; rule change mining;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Understanding and adapting to changes of customer behavior is an important aspect of surviving in a continuously changing market environment for a modem company. The concept of customer change model mining is introduced and its process is analyzed in this paper. A customer change model mining method based on swarm intelligence is presented, and the strategies of pheromone updating and items searching are given. Finally, an examination on two customer datasets of a telecom company illuminates that this method can achieve customer change model efficiently.
引用
收藏
页码：456 / 464
页数：9
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