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：1
页码：699
DOI：10.15680/IJIRCCE.2016.0401155
出版社：S&S Publications
摘要：Inlast two decade thespeedygrowth of e-commerce and the huge amounts of data collected through operational transactions, data mining techniques arebecoming more useful to generateand understand unknown customer patterns. In the past, data mining has been used to find out which products arerelated in terms of having maximum buyand also ascertain which customers worthycredit facilities. There has not been much work done in the use of data mining to ensure customer allegiancein the e-commerce business and also have strategies of increasing retail companies to use e-commerce as a profitable mode of doing business. The aim to study the customer's behaviorthrough data mining techniques used in deriving association rules from an e-commerce database so as to ensure customer loyalty and also assist in having strategies of luring businesses to use e-commerce for conducting highly profitable business. From our results the association rules reveal that if a product stays online for a long time (more than 550 days), it is 78% highly likely it will not be bought. The associations rules also indicate that the number of products bought are linked to the number of times customers view the products online and the selling price of the productand compare a product from other ecommerce
关键词：E-commerce; Association Rule; Patterns; Recommendation; knowledge discovery; Ranking; Comparison.
