A Review of Popular Frequent Item Set Mining Methods |
Author(s): |
| Nilesh Singh Lodhi , LNCT, Indore (MP) |
Keywords: |
| Frequent Item Set, Data Mining , Soft Computing, Association rules . |
Abstract |
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In this paper, we are presenting an overview of existing frequent item set mining algorithms. Nowadays frequent item set mining is a very popular and computationally expensive task. We have also explained the fundamentals of frequent item set mining. We have described today’s approaches for frequent item set mining. From the broad variety of frequent item set mining algorithms that have been developed we will compare the most important ones. We will compare the algorithms and analyze their performance based on both their run time performance. |
Other Details |
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Paper ID: IJSRDV2I4230 Published in: Volume : 2, Issue : 4 Publication Date: 01/07/2014 Page(s): 271-273 |
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