2016 Fiscal Year Final Research Report
Knowledge discovery and data classification based on string compression
| Project/Area Number |
25280086
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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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, システム情報科学研究科(研究院, 准教授 (20323644)
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| Co-Investigator(Kenkyū-buntansha) |
稲永 俊介 九州大学, システム情報科学研究科(研究院, 准教授 (60448404)
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| Research Collaborator |
GOTO Keisuke
NAKASHIMA Yuto
NISHIMOTO Takaaki
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Keywords | 圧縮文字列処理 / SLP / 繰り返し構造 / LZ78 / LZ77 / 連 |
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| Outline of Final Research Achievements |
We worked mainly on developing compressed string processing algorithms for various problems for extracting characteristics of strings from straight line program (SLP) representation of strings. We developed time and space efficient algorithms for computing runs, Lyndon factorizations, LZ78 factorization, LZ77 factorizations, etc. Furthermore, we affirmatively solved the “runs conjecture”, which was open for 15 years.
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| Free Research Field |
情報科学
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