Comparative Study of Association Rule Mining Algorithms |
Author(s): |
| Gurneet Kaur , Department of Computer Science and Applications, Kurukshetra University, Kurukshetra, India; Dr. R. K. Chauhan, Department of Computer Science and Applications, Kurukshetra University, Kurukshetra, India |
Keywords: |
| Association rule mining, Apriori, Weka. |
Abstract |
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Association Rule Mining(ARM) has been the area of interest for many researchers for a long time and continues to be the same. It is one of the important tasks of data mining. It aims at discovering relationships among various items in the database. There are several algorithms of which Apriori is the classical and most famous algorithm. In this paper, author considers two different datasets and tries to obtain the result using Weka a data mining tool. The author also presents a comparison between three association rule algorithms: Apriori Association Rule, PredictiveApriori Association Rule and Tertius Association Rule through experiments and presents the result. A proposal for increasing the efficiency of Apriori Algorithm is also presented. |
Other Details |
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Paper ID: IJSRDV2I2297 Published in: Volume : 2, Issue : 2 Publication Date: 01/05/2014 Page(s): 412-416 |
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