| Project/Area Number |
13680482
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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 |
情報システム学(含情報図書館学)
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| Research Institution | Nanzan University (2004)
Kyoto University (2001-2003) |
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Principal Investigator |
KAWANO Hiroyuki Nanzan University, Faculty of Mathematical Sciences and Information Engineering, Professor, 数理情報学部, 教授 (70224813)
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| Co-Investigator(Kenkyū-buntansha) |
KAWAHARA Minoru Ehime University, Center for Information Technology, Associate Professor, 総合情報メディアセンター, 助教授 (50224829)
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| Project Period (FY) |
2001 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2004: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2003: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2002: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2001: ¥800,000 (Direct Cost: ¥800,000)
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| Keywords | Cooperative Filtering / Data Mining / Web Mining / Peer-to-Peer / Search Engine / Web Archive / Information Retrieval / Database / 情報フィルタリング / データベース応用 / 情報 / コンテンツ・アーカイブ / 検索エンジン / P2Pシステム / Isingモデル / 情報検索システム / 性能評価 / LIRアルゴリズム / 情報検索支援 / テキストマイニング / 半構造データ / 情報可視化 / 検索支援システム / ハイパーテキスト |
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| Research Abstract |
Researches of knowledge discovery and data mining from electronic data are important, we are trying to propose data mining algorithms, to implement web search systems for semi-structured data including bibliographic information and to develop information visualizing interface for amount of data.
In this research, based on our previous research results of implementing "Mondou (RCA.AU)" search engine, we focus on more sophisticated cooperative distributed information filtering mechanisms. Firstly, we describe several results, such as web data analysis for reducing search costs, propose of new search model by using characteristic structures of web hyperlink graphs, frameworks of cooperative distributed information filtering systems over P2P network. Furthermore, we try to develop information systems based on statistical data of web archiving system of NDL (National Diet Library).
In this report, we introduce web information retrieval systems, data mining tools and background research issues of information filtering techniques. Next, we describe our research results of several web mining algorithms, and partial results of cooperative distributed information filtering systems over P2P network. Finally, we try to extend our research results for management and operation of web archiving systems.
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