| Presentation | 2010-06-14 Large-Scale String Processing:Theory and Practice Daisuke OKANOHARA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | String data is used in many fields including natural language processing, genome analysis and log analysis. The sizes of these data rapidly increase and therefore we need to develop more efficient data structures and algorithms. This paper introduces state-of-the-art techniques of string processing, and how these techniques are employed in machine learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | String Algorithm / Machine Learning / Succinct Data Structure / Full-text Index |
| Paper # | IBISML2010-5 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2010/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Large-Scale String Processing:Theory and Practice |
| Sub Title (in English) | |
| Keyword(1) | String Algorithm |
| Keyword(2) | Machine Learning |
| Keyword(3) | Succinct Data Structure |
| Keyword(4) | Full-text Index |
| 1st Author's Name | Daisuke OKANOHARA |
| 1st Author's Affiliation | Preferred Infrastructure Inc.() |
| Date | 2010-06-14 |
| Paper # | IBISML2010-5 |
| Volume (vol) | vol.110 |
| Number (no) | 76 |
| Page | pp.pp.- |
| #Pages | 8 |
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