A LITERATURE STUDY ON ASSOCIATION RULE MINING
Journal Title: Elysium Journal of Engineering Research and Management - Year 2015, Vol 2, Issue 4
Abstract
Association Rule mining has become an essential topic in data mining during recent years. It gains more popularity because of its wide range of applicability. Many researches introduced new algorithms based on frequent itemsets and rule generation for performing Association Rule mining. This paper mainly concentrates on theoretical concept of existing algorithm. The first stage of this paper focus on concepts of association rule and the next stage are focussed on various applications in which association rule are useful for important decision making. Association rule mining seeks to observe associations among transactions fixed in a database. It can be used to progress decision making in a different variety of applications such as medical diagnosis, market basket analysis, census data, protein sequences, CRM of credit card company etc.
Authors and Affiliations
Kasala Nageswar Rao, Srinath Dr. M. V. , Deva Prasad K.
Keywords
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