Modified Approach in Association Rule Mining to Find Rare Item set |
Author(s): |
| Krishna Patel , L.J Institute of Engg & Technology; Jignesh Vania, L.J.Institute of Engg & Technology |
Keywords: |
| Association Rule Mining, Rare itemset |
Abstract |
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As datasets are huge and larger, it takes a longer computational time to produce association rules. To produce association rules with less computational time, one should start with big thinking. Most existing Association rule mining methods are developed for mining numerous patterns, A common property of this methods is that they find numerous itemset and discard rare or infrequent itemset. But In many real-world circumstances rare itemsets are of abundant interest and they deliver valued information. In literatures, different methods are used to find rare itemsets, still problem of memory requirement and computational time is there, Proposed approach reduces memory requirement and search space thus making an algorithm more efficient by minimizing Computational time. |
Other Details |
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Paper ID: IJSRDV3I30945 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3638-3640 |
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