On the study of recompressing strings
| Project/Area Number |
16K16009
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Theory of informatics
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
I Tomohiro 九州工業大学, 大学院情報工学研究院, 准教授 (20773360)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 文字列処理 / 可逆圧縮 / 圧縮変換 / 圧縮文字列処理 / データ圧縮 / 文字列圧縮 / アルゴリズム理論 / 列挙 |
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| Outline of Final Research Achievements |
We studied the theory of compression to process huge string data. We obtained the following results: (1) We proposed a grammar compression method that works in optimal working space. (2) We showed how to answer longest common extension queries in grammar compressed strings (3) We proposed a practical algorithm to compute run-length encoded Burrows-Wheeler transform (RLBWT) in an online manner. (4) We showed how to compute Lempel-Ziv 77 via RLBWT in an online manner. (5) We proposed the first algorithm to compute RePair (the most notable grammar compression for its high compression performance) in compressed space.
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| Academic Significance and Societal Importance of the Research Achievements |
巨大データを解析・利用するために圧縮は欠かせない技術であり，様々な圧縮手法が提案されている．しかし，一般に圧縮手法には利点と欠点があるため，必要なデータ処理に応じて圧縮形式を変換する技術の発展が望まれる．本研究では，圧縮されたデータの利用価値を上げるために，圧縮形式間の効率的な変換技法を提案した．
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Report
(4 results)
Research Products
(28 results)
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[Journal Article] The "Runs" Theorem2017
Author(s)
Hideo Bannai, Tomohiro I, Shunsuke Inenaga, Yuto Nakashima, Masayuki Takeda, Kazuya Tsuruta
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Journal Title
SIAM J. Comput.
Volume: 46(5)
Issue: 5
Pages: 1501-1514
DOI
Related Report
Peer Reviewed
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