2010 Fiscal Year Final Research Report
Rapid pattern discovery from huge semi-structured data based on local structure in graph
| Project/Area Number |
20700143
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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 | Kyushu Institute of Technology |
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Principal Investigator |
SAKAMOTO Hiroshi Kyushu Institute of Technology, 大学院・情報工学研究院, 准教授 (50315123)
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| Project Period (FY) |
2009 – 2010
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| Keywords | ウェブマイニング / 知識発見 / 半構造データ / 機械学習 |
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| Research Abstract |
For the difficult mining problem from huge semi-structured data, we developed a scalable method to find characteristic patterns immediately. By this method, we can obtain interesting patterns with high accuracy avoiding the subgraph isomorphism problem, which is a bottleneck of such problem.
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