A DATA MINING APPROACH TO EXTRACTING CHARACTERISTIC RULES

摘要：

Data mining is one of the most popular technologies that can extract customers knowledge from business database and is capable of detecting potential patterns and rules underlying the data. One of the issues of data mining application in customer relationship management is discovering characteristic rules. This paper proposes a method of mining characteristic rules. Our work focuses on discovering characteristics which are (1) general, covering part of cases to some extent, and (2) unique, distinguishing the concept with others. The result of the experiment shows that this approach is effective.

关键词： Data mining Characteristic rule Customer relationship management

作者: HUIFANG WANG TAO LU

作者单位: Management School, Dalian University of Technology

会议类型: 国际会议

会议名称: The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)

会议地点: 大连

会议语种:英文

页码: 335-340

在线出版日期: 2008-12-18（万方平台首次上网日期，不代表论文的发表时间）