期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：5
页码：7495
DOI：10.15680/IJIRSET.2016.0505153
出版社：S&S Publications
摘要：As of late with the quick development of e-trade and the lot of information gathered through operationalexchanges, information mining methods are turning out to be more valuable to find and comprehend obscure clientdesigns. Previously, information mining has been utilized to discover which items are connected as far as having highdeals furthermore find out which clients merit credit offices. There has not been much work done in the utilization ofinformation mining to guarantee client reliability in the e-trade business furthermore have procedures of expandingretail organizations to utilize e-trade as a gainful method of working together. The point of this paper is to examine theclient's conduct through information mining procedures utilized as a part of getting affiliation rules from an e-tradedatabase in order to guarantee client dependability furthermore help with having systems of baiting organizations toutilize e-trade for leading very beneficial business. From our outcomes the affiliation decides uncover that if an itemstays online for quite a while (over 550 days), it is 78% profoundly likely it won't be purchased. The affiliations decideadditionally show that the quantity of items purchased is connected to the quantity of times clients see the items onlineand the offering cost of the item.
关键词：E-commerce; Association Rule; Patterns; Recommendation; knowledge discovery; Ranking.
