2014 Fiscal Year Final Research Report
Compressed Mining: exposing hidden knowledge in large-scale data
| Project/Area Number |
23680016
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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 Institute of Technology |
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Principal Investigator |
SAKAMOTO Hiroshi 九州工業大学, 大学院情報工学研究院, 教授 (50315123)
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| Co-Investigator(Renkei-kenkyūsha) |
KUBOYAMA Tetsuji 学習院大学, 計算機センター, 教授 (80302660)
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| Project Period (FY) |
2011-04-01 – 2015-03-31
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| Keywords | データ圧縮 / 簡潔データ構造 / ストリームデータ / 文法圧縮 |
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| Outline of Final Research Achievements |
This study focuses on exposing hidden knowledge in large-scale data by the data compression technique. Concretely, we propose a novel method for directly comparing of large texts using our algorithm which allow us to compress data keeping the relationship among frequent patterns. By this, we start a new research project as the Scientific Research (B).
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| Free Research Field |
知能情報学
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