Presentation 2002/5/10
Generalization of Document Clustering Method Based on Forgetting Factors
Yoshiharu ISHIKAWA, Hiroyuki KITAGAWA,
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Abstract(in English) Clustering plays important roles in various on-line applications such as extraction of useful information from news feeding services and selection of relevant documents from the incoming scientific articles in digital libraries. In on-line environments, users generally have interests on newer documents than older ones and have no interests on obsolete old documents. Based on this observation, we propose an on-line document clustering method that incorporates the notion of a forgettingfactor to calculate document similarities. The idea is that every document gradually losses its weight (or memory) as time passes according to this factor. Since our method generates clusters using a document similarity measure based on the forgetting factor, newer documents have much effects on the resulting cluster structure than older ones. In this paper, we extend our clustering method by generalizing the calculation method of the document similarity measure and briefly mention the features of the clustering method.
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Keyword(in English) clustering / on-line document processing / incremental processing / forgetting
Paper # DE2002-3
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Committee DE
Conference Date 2002/5/10(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Generalization of Document Clustering Method Based on Forgetting Factors
Sub Title (in English)
Keyword(1) clustering
Keyword(2) on-line document processing
Keyword(3) incremental processing
Keyword(4) forgetting
1st Author's Name Yoshiharu ISHIKAWA
1st Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba()
2nd Author's Name Hiroyuki KITAGAWA
2nd Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba
Date 2002/5/10
Paper # DE2002-3
Volume (vol) vol.102
Number (no) 64
Page pp.pp.-
#Pages 6
Date of Issue