| Presentation | 2003/3/6 Web System for Extracting Frequent Patterns from Sequences Fuminori TOKUYAMA, Hajime KITAKAMI, Yasuma MORI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The paper proposes a Web system to reduce the users' workload caused when knowledge is discovered from frequent patterns extracted from a large-scale amino acid sequence database using Modified PrefixSpan method that has already been developed by authors. This system structurizes the set of extracted frequent patterns and visualizes it, and provides such functions as displaying the whereabouts position in the sequences and specializing the wild-card area. The user can visually obtain information on a large amount of data using the prototype system. In the future, we will enhance the prototype system and evaluate the system interface. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Seqences Database / Data Mining / Frequent pattern / Visualization |
| Paper # | AI2002-66 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2003/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Web System for Extracting Frequent Patterns from Sequences |
| Sub Title (in English) | |
| Keyword(1) | Seqences Database |
| Keyword(2) | Data Mining |
| Keyword(3) | Frequent pattern |
| Keyword(4) | Visualization |
| 1st Author's Name | Fuminori TOKUYAMA |
| 1st Author's Affiliation | Faculty of Information Sciences, Hiroshima City University() |
| 2nd Author's Name | Hajime KITAKAMI |
| 2nd Author's Affiliation | Faculty of Information Sciences, Hiroshima City University |
| 3rd Author's Name | Yasuma MORI |
| 3rd Author's Affiliation | Faculty of Information Sciences, Hiroshima City University |
| Date | 2003/3/6 |
| Paper # | AI2002-66 |
| Volume (vol) | vol.102 |
| Number (no) | 709 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |