2011 Fiscal Year Final Research Report
A Study on Database Systems for Multi-Dimensional Web-Structure Mining
| Project/Area Number |
21500096
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
OHMORI Tadashi 電気通信大学, 大学院・情報システム学研究科, 教授 (30233274)
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| Project Period (FY) |
2009 – 2011
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| Keywords | Webマイニング / データベースシステム / コミュニティ発見 / 問い合わせ処理 |
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| Research Abstract |
Web-Community Mining is a significant issue in today's cyberspace technology. One problem is how to find outstanding communities in a big data space, and the other is how to support user-given personalization in the web-community mining function. This research is aimed at solving the latter issue. The proposed solution is a new database system which provides a data-cube query model on a target web-space dataset. Namely, under a given multi-dimensional constraint, the system computes web-community structures under the constraint and returns a ranked list of communities. The proposed data-cube model has three dimensional constraints of FROM-type, TO-type, and the time of a data snapshot. Efficient set-oriented data operations on the data-cube model and their algorithms are also proposed.
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Research Products
(5 results)
