International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 5, May 2013 Edition [ISSN 2250-3153]


A Comparative Analysis of Association Rules Mining Algorithms
      Komal Khurana, Mrs. Simple Sharma
Abstract: Association rule mining is the one of the most important technique of the data mining. Its aim is to extract interesting correlations, frequent patterns and association among set of items in the transaction database. This paper presents a comparison between different association mining algorithms. All these algorithms are compared according to various factors like type of data set, support counting, rule generation, candidate generation and some other factor .The compared algorithms are presented together with some examples that lead to the final conclusions. Association rules are widely used in various areas such as telecommunication, market and risk management, inventory control etc.

Reference this Research Paper (copy & paste below code):

Komal Khurana, Mrs. Simple Sharma (2018); A Comparative Analysis of Association Rules Mining Algorithms; Int J Sci Res Publ 3(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0513.php?rp=P171249
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