| Presentation | 2004/11/30 Feature Discovery in Temporal Data(Artificial Intelligence III)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) RYUTARO ICHISE, MASAYUKI NUMAO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In mining time series data, the graph similarity of the data can be used as an effective tool. However, when the time series has missing data, the utility of graph similarity in analyzing time series data is limited. The present study investigates experimentally the impact of missing values in time series data on dynamic time warping, a method that is commonly used in determining graph similarity. Based on the results of the investigation, we propose a new method by which to treat time series data having missing values. The proposed method uses point similarity rather than graph similarity. Experiments were conducted in order to evaluate the performance of the proposed method, and the results indicate that the proposed method is effective for finding features in time series data. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | AI2004-61 |
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| Committee | AI |
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| Conference Date | 2004/11/30(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) | Feature Discovery in Temporal Data(Artificial Intelligence III)(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 | RYUTARO ICHISE |
| 1st Author's Affiliation | Intelligent Systems Research Division, National Institute of Informatics Hitotsubashi() |
| 2nd Author's Name | MASAYUKI NUMAO |
| 2nd Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University |
| Date | 2004/11/30 |
| Paper # | AI2004-61 |
| Volume (vol) | vol.104 |
| Number (no) | 488 |
| Page | pp.pp.- |
| #Pages | 6 |
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