| Presentation | 2004/11/29 Performance Evaluation of Similarity Search Module and Application for Cell Simulator(Scientific Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) SHOHEI HIDO, HIROYUKI KAWANO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We develop a similarity search module which performs K-nearest search and range query search in large time series databases. To deal with the high dimensionality of time series data, we apply the techniques such as Adaptive Piecewise Constant Approximation (APCA), multi-dimensional index structure (Hybrid-tree) and approximate distance function to our module. In this paper, we evaluate the performance of the module by using the action potential data of a cardiac cell, which is produced by simBio cell simulator. Experimental results show that the module has high performance and applicability. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | AI2004-48 |
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| Committee | AI |
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| Conference Date | 2004/11/29(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Evaluation of Similarity Search Module and Application for Cell Simulator(Scientific Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) |
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| 1st Author's Name | SHOHEI HIDO |
| 1st Author's Affiliation | Department of Systems Science Kyoto University() |
| 2nd Author's Name | HIROYUKI KAWANO |
| 2nd Author's Affiliation | Department of Information and Telecommunication Engineering Nanzan University |
| Date | 2004/11/29 |
| Paper # | AI2004-48 |
| Volume (vol) | vol.104 |
| Number (no) | 487 |
| Page | pp.pp.- |
| #Pages | 6 |
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