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JAIST Repository >
科学技術開発戦略センター 2003～2008 >
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IFSR 2005 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/3914
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| タイトル: | Ant-based Text Clustering Using Semantic Similarity Measure: Progress Report and First Stage Experiment |
| 著者: | Haoxiang, Xia
Shuguang, Wang
Zhaoguo, Xuan
Yoshida, Taketoshi |
| キーワード: | Text Clustering
Ant-based Clustering
Semantic Similarity Measure
Ontology |
| 発行日: | Nov-2005 |
| 出版者: | JAIST Press |
| 抄録: | The ant-based clustering technique has been proven a promising technique for the data clustering problems. However, when applying to text clustering, in many cases the standard ant-based text clustering technique is not satisfactory, partly due to the limitations of the usually adopted VSM-based similarity measure between documents. To address this, a novel ant-based text clustering algorithm is proposed, which utilizes ontology-supported edge-counting-based semantic similarity measure. First stage experiment to test the usefulness and the performance of the proposed algorithm is also reported in the paper. |
| 記述: | The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2124, Kobe, Japan
Symposium 5, Session 4 : Data/Text Mining from Large Databases Text Mining |
| 言語: | ENG |
| URI: | http://hdl.handle.net/10119/3914 |
| ISBN: | 4-903092-02-X |
| 出現コレクション: | IFSR 2005
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| 20055.pdf | | 397Kb | Adobe PDF | 見る/開く |
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