Web Log Miner |
Author(s): |
| Laxmi Devi , Al-Falah school of engineering & Technology Dhauj, Faridabad, Haryana; Manoj Yadav, Al-Falah school of engineering & Technology Dhauj, Faridabad, Haryana |
Keywords: |
| Association rules, Knowledge Discovery, Web Log Miner, Apriori Algorithm |
Abstract |
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The efficiency of mining association rules is an important field of Knowledge Discovery in Databases. The Apriori algorithm is a classical algorithm in mining association rules. In this Paper, I have proposed a web browser named "Web Log Miner" that supports mining feature Which will mine Web usage using Apriori algorithm and presents a list of web pages based on user`s interest and cache.. This paper present that web usage can be mine by two ways time based and frequency based. In this study I have used Apriori algorithm which reduce the redundant generation of sub-item sets during pruning the candidate item sets, and can form directly the set of frequent item sets and eliminate candidates having a subset that is not frequent in the meantime. This paper explores the use of Apriori Algorithm in Web Usage Mining to analyze Web log records collected from E-Learning portal. |
Other Details |
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Paper ID: IJSRDV2I6169 Published in: Volume : 2, Issue : 6 Publication Date: 01/09/2014 Page(s): 238-241 |
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