Presentation 2005-07-13
An Experimental Evaluation of a Novelty-based Incremental Document Clustering Method
Sophoin KHY, Yoshiharu ISHIKAWA, Hiroyuki KITAGAWA,
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Abstract(in English) This paper describes an incremental document clustering method considering the novelty and similarity of on-line documents. The experimental result shows the incremental approach is more efficient than the non-incremental one. In addition, the effectiveness of the novelty-based incremental document clustering method is described.
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Keyword(in English) document clustering / novelty / incremental processing / document stream
Paper # DE2005-54
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Committee DE
Conference Date 2005/7/6(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Experimental Evaluation of a Novelty-based Incremental Document Clustering Method
Sub Title (in English)
Keyword(1) document clustering
Keyword(2) novelty
Keyword(3) incremental processing
Keyword(4) document stream
1st Author's Name Sophoin KHY
1st Author's Affiliation Master's Program in Science and Engineering()
2nd Author's Name Yoshiharu ISHIKAWA
2nd Author's Affiliation Department of Computer Science, Graduate School of Systems and Information Engineering:Center for Computational Sciences University of Tsukuba
3rd Author's Name Hiroyuki KITAGAWA
3rd Author's Affiliation Department of Computer Science, Graduate School of Systems and Information Engineering:Center for Computational Sciences University of Tsukuba
Date 2005-07-13
Paper # DE2005-54
Volume (vol) vol.105
Number (no) 171
Page pp.pp.-
#Pages 6
Date of Issue