文章基本信息

标题：Intelligent Apriori Algorithm for Complex Activity Mining in Supermarket Applications
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作者：Kumar, V. Ganesh ; Muneeswaran, K.
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2013
卷号：9
期号：4
页码：433-438
DOI：10.3844/jcssp.2013.433.438
出版社：Science Publications
摘要：As shopping becomes a shared experience and joint process with friends or family members nowadays, the most important problems arise with variety of products and the product information available in the supermarkets. This study proposes a system that uses Intelligent Apriori algorithm to support consumers in getting the required items from various supermarkets. Also this work intelligently suggests the best movement and reducing unwanted movement of the customer and quickly finds out the next operation which includes the next supermarket which is visited by the customer for the next item he/she purchases. This approach can further be extended to the world of mobile communication where the next movement of the mobile user can be predicted and used intelligently to arrange necessary requirements at the destination before he actually reaches. The feasibility of this approach is tested under simple conditions and the results are presented in this study.
关键词：Data Mining; Apriori Algorithm; Activity Mining