期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2010
卷号：1
期号：4
页码：258-266
出版社：Engg Journals Publications
摘要：This paper focus on analysis and implementation of a hash table based data mining engine used to discover knowledge from transaction database for electronic commerce industry. Apriori algorithm is analyzed and implemented to discover association relationship among amounts of business transaction records. Such relationships can be derived based on individual product purchased in all transactions. They also can be applied to single category level that will provide more granular analysis. This engine can derive both single and multidimensional association rules. The resulted association relationships help in much business decision-making processes, such as catalog design, shelf layout, cross-marketing, bundled advertisement, etc.
关键词：Data mining; Hash table; Apriori; Association rules.
