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ERCIMDL
2001
Springer

An On-Line Document Clustering Method Based on Forgetting Factors

11 years 5 months ago
An On-Line Document Clustering Method Based on Forgetting Factors
Abstract. With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. 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 F2ICM (Forgetting-Factor-based Incremental Clustering Method) that incorporates the notion of a forgetting factor to calculate document similarities. The idea is that every document gradually losses its weight (or memory) as time passes according to this factor. Since F2ICM generates clusters using a document similarity measure based on the forgetting factor, newer documents h...
Yoshiharu Ishikawa, Yibing Chen, Hiroyuki Kitagawa
Added 28 Jul 2010
Updated 28 Jul 2010
Type Conference
Year 2001
Where ERCIMDL
Authors Yoshiharu Ishikawa, Yibing Chen, Hiroyuki Kitagawa
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