An Association Ruled Based Method for Mining Useful Information from Web Log |
Author(s): |
| Vishal Gupta , JIT, Borawan (M.P.), India; Mahesh Malviya, JIT, Borawan (M.P.), India |
Keywords: |
| Mining, Apriori, Frequent Itemset Mining, Web Log Mining, Association rules mining |
Abstract |
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In data mining association rule is one of the most important and popular researched method for discovering interest between various large databases. The extract interest is correlation, frequent patterns and association rule among the different set of items in the transition database. In previous algorithm requires large amount of disk space for placing input/output subsystem. In order to reduce the multiple past over the disk space a new method is proposed in this paper which is top down approach instead of bottom down approach .The improved version of this algorithm will reduce the data base scan and avoid the generation of wanted patterns which will definitely reduce the data base scan, time and its space consumption |
Other Details |
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Paper ID: IJSRDV2I1233 Published in: Volume : 2, Issue : 1 Publication Date: 01/04/2014 Page(s): 469-471 |
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