期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2013
卷号：2
期号：2
页码：210
出版社：International Journal of Computer and Information Technology
摘要：Data mining methodology has a tremendous contribution for extracting the hidden knowledge and patterns from the existing databases. Traditionally, researchers use basket data to mine association rules of which the basic task is to find the frequent items. For relational databases whose data format is relational data other than basket data, RDB-MINER algorithm was proposed. In this paper, we introduce an improved RDB- MINER algorithm and apply it to mine association rules in retail banking relational databases. When we assess the customer lifetime value, RFM model is adopted. Moreover, we propose a method to find the association rules between customers' attributes and their lifetime value, these patterns are significant for predicting their future value.
