Presentation | 2007-05-31 Similarity Sequences extracting method using efficient text processing Takaharu Takeda, Atsuhiro Takasu, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Similar expression and character string appear frequently during documents written about the same topic. It is easy to identify where they appeared by indexing for searches, if those are the perfect matching string, but they are taken aside when a string is different partially or includes different expression. Usually query is given by user in approximate pattern matching, the system only finds most suitable document, however we would propose the mapping method that which part and which part resemble self-organizing in this study. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Suffix arrays / weighted edit distance / text mining / Similarity Sequences extracting |
Paper # | AI2007-7 |
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Committee | AI |
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Conference Date | 2007/5/24(1days) |
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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) | Similarity Sequences extracting method using efficient text processing |
Sub Title (in English) | |
Keyword(1) | Suffix arrays |
Keyword(2) | weighted edit distance |
Keyword(3) | text mining |
Keyword(4) | Similarity Sequences extracting |
1st Author's Name | Takaharu Takeda |
1st Author's Affiliation | The Graduate university for Advanced Studies, the School of Multidisciplinary Science, the Department of Informatics() |
2nd Author's Name | Atsuhiro Takasu |
2nd Author's Affiliation | National Institute of Informatics, Office for Promotion of Research Projects, Research Center for Testbeds and Prototyping |
Date | 2007-05-31 |
Paper # | AI2007-7 |
Volume (vol) | vol.107 |
Number (no) | 78 |
Page | pp.pp.- |
#Pages | 6 |
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