Correlation Pattern Mining from Complex Structured Databases
| Project/Area Number |
21700168
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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 |
Intelligent informatics
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| Research Institution | Osaka University (2010)
Kobe University (2009) |
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Principal Investigator |
OZAKI Tomonobu Osaka University, サイバーメディアセンター, 特任講師 (40365458)
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| Project Period (FY) |
2009 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2010: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2009: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | データマイニング / 構造データ / 関連パターン / アルゴリズム |
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| Research Abstract |
In this research, several algorithms were developed mining common characteristic patterns from complex structures such as (1) graphs with composite properties, (2) graph sequences, (3) multi-dimensional structured databases and (4) quantitative event sequences. Through the research, we obtained a basic and general framework which suppresses meaningless low quality patterns and finds only significant and comprehensive patterns.
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Report
(3 results)
Research Products
(21 results)
