2012 Fiscal Year Final Research Report
Pattern Discovery and Data Classification Based on String Compression
| Project/Area Number |
22680014
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Kyushu University |
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Principal Investigator |
BANNAI Hideo 九州大学, システム情報研究院, 准教授 (20323644)
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| Project Period (FY) |
2010 – 2012
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| Keywords | 圧縮文字列処理 / パターン発見 |
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| Research Abstract |
Compressed string processing is an approach that aims to process a compressed representation of the string without explicitly decompressing it. In this study, we investigated the application of this approach to the problem of string pattern discovery and string data classification, and developed various efficient algorithms. Especially for the q-gram frequencies problem, we succeeded in developing a practically efficient algorithm that can be faster than directly processing the uncompressed text, showing, the effectiveness of the approach to the string pattern discovery and string classification problems
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Research Products
(21 results)
