2010 Fiscal Year Final Research Report
Studies on Advanced Pattern Matching over Continuous Data Streams
| Project/Area Number |
20700001
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Fundamental theory of informatics
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| Research Institution | Hokkaido University |
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Principal Investigator |
KIDA Takuya Hokkaido University, 大学院・情報科学研究科, 准教授 (70343316)
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| Project Period (FY) |
2008 – 2010
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| Keywords | アルゴリズム理論 |
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| Research Abstract |
I have studied high speed and advanced pattern matching over continuous data streams and also about compression technique for realizing that. For the former, I have proposed a pattern matching algorithm, named BPS, which is based on bit-parallel techniques and allows complex queries for multi-dimension data streams. By the algorithm, we can search over data streams for queries that highly combined with numerical data and categorical data as well as text data. For the latter, I have developed a novel data compression method, named STVF coding, which is based on VF coding and suitable for pattern matching. The method has a good feature of allowing doing keyword search in simple and quick manners, as it gains high compression ratios as well as existent well-known compression methods.
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[Presentation] Training Parse Trees for Efficient VF Coding2010
Author(s)
Takashi Uemura, Takuya Kida, Satoshi Yoshida, Tatsuya Asai, Seishi Okamoto
Organizer
Proc.of the 17th Symposium on String Processing and Information Retrieval (SPIRE2010), LNCS 6393, pp.179-184
Place of Presentation
Los Cabos, Mexico
Year and Date
2010-10-12
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