期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：7799
DOI：10.15680/IJIRCCE.2016.0404288
出版社：S&S Publications
摘要：In today's competitive world good marketing strategy is needed toattract the customers.This proposed system maintainsthe customer relationship using data mining with TRFMmodel. Clustering, Classification and Association rule are also used with TRFM model that is useful for market intelligence. Clustering is used to search out customer segments with comparableTRFM values. Classification is used to find out customer's future buying pattern. Association rule mining is used for product recommendation
关键词：data preprocessing; data mining; TRFM model; clustering; classification; association rule mining; FP-Growthalgorithm; K-means algorithm; C4.5 algorithm
