时态数据挖掘在手机用户消费行为中的应用  

The Application of Temporal Data Mining to the Behavior Analysis of Cell Phone Consumption

作　　者：朱建平[1] 来升强[1] 

机构地区：[1]厦门大学经济学院计划统计系

出　　处：《数理统计与管理》2008年第1期42-53,共12页Journal of Applied Statistics and Management

基　　金：国家教育部新世纪优秀人才支持计划资助(NCET-04-0608);国家教育部人文社会科学规划项目资助(06JA910003)

摘　　要：本文详细地讨论了时态数据的基本格式,明确了持续事件序列的概念.在此基础上,针对数据挖掘的研究目的,构造了时态关联规则,并对手机用户消费行为进行了深入的分析,得到了良好的效果.In this article we defined a fundamental format of temporal data, which illustrate dearly the conception of durative event series. Utilizing this conception a new temporal association rule has being built in order to meet the tasks required in temporal data mining activities which usually compose various time-varying characteristics. Experimental results from a cell phone consumption record dataset are also inspiring.

关 键 词：时态数据 时态规则 数据挖掘 

分 类 号：O212[理学—概率论与数理统计]