| Presentation | 2005-07-14 Sequential Pattern Mining based on Event Intervals Yu HIRATE, Shunsuke KOMATSU, Hayato YAMANA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In data mining researches, sequential pattern mining extracts frequent sequences keeping their event occurrence orders. Since conventional sequential pattern mining methods have not consider event occurrence time intervals, it is impossible to understand time intervals of any two events which are included by result sequences. In this paper, we propose a new sequential pattern mining method which considers event occurrence time intervals. As a result of our evaluation in applying the earthquake data. We confirmed our new method can extract new kind of frequent sequences which couldn't extracted by conventional sequential pattern mining methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | DataMining / Sequential Pattern Mining |
| Paper # | DE2005-72 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2005/7/7(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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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) | Sequential Pattern Mining based on Event Intervals |
| Sub Title (in English) | |
| Keyword(1) | DataMining |
| Keyword(2) | Sequential Pattern Mining |
| 1st Author's Name | Yu HIRATE |
| 1st Author's Affiliation | Graduate School of Science and Enginnering, Waseda University() |
| 2nd Author's Name | Shunsuke KOMATSU |
| 2nd Author's Affiliation | Graduate School of Asia-Pacific Study, Waseda University |
| 3rd Author's Name | Hayato YAMANA |
| 3rd Author's Affiliation | Science and Engineering, Waseda University |
| Date | 2005-07-14 |
| Paper # | DE2005-72 |
| Volume (vol) | vol.105 |
| Number (no) | 172 |
| Page | pp.pp.- |
| #Pages | 6 |
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