| Presentation | 2003/7/11 Improvement of the Scalability for Web Log Mining with LCS Seiji TODA, Haruo YOKOTA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Nowadays, information distribution via websites is one of the most important issues. Therefore, website administrators afe reauired to understand access trends of the websites properly. We investigate a method proposed in our previous work for mining access logs with LCS (Longest Common Subsequences) to extract frequent access sequences. However, the method still has a problem of the scalability. The execution time increases for large websites. In this paper, we propose an aooroach of filtering sequences with a hash function to improve the oerformance for analyzing large websites. We evaluate the efficiency of the approach using access logs of a real website and artificial data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | web / data mining / longest common subsequences / access sequence extraction / hash / filtering |
| Paper # | DE2003-90 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2003/7/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of the Scalability for Web Log Mining with LCS |
| Sub Title (in English) | |
| Keyword(1) | web |
| Keyword(2) | data mining |
| Keyword(3) | longest common subsequences |
| Keyword(4) | access sequence extraction |
| Keyword(5) | hash |
| Keyword(6) | filtering |
| 1st Author's Name | Seiji TODA |
| 1st Author's Affiliation | Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Haruo YOKOTA |
| 2nd Author's Affiliation | Global Scientific Information & Computing Center, Tokyo Institute of Technology:Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology |
| Date | 2003/7/11 |
| Paper # | DE2003-90 |
| Volume (vol) | vol.103 |
| Number (no) | 192 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |