Affinity-based probabilistic reasoning and document clustering on the WWW

Mei Ling Shyu, S. C. Chen, Chi Min Shu

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

The World Wide Web (WWW) has become one of the fastest growing applications on the Internet today. More and more information sources have linked online through WWW, but finding information on the WWW is also a great challenge. For most of the users, the information retrieved is not well organized and the access time is considered high on the WWW currently. Therefore, there is a need to develop a good mechanism to organize and manage the tremendous size and various kinds of information to facilitate the functionality of a search engine for information retrieval on the WWW. In response to such a demand, we propose a Markov Model Mediator (MMM) mechanism which employs the affinity-based data mining techniques to organize and manage the information sources so that the most relevant documents are clustered together to achieve higher recall and precision values for information retrieval on the WWW.

Original languageEnglish (US)
Pages (from-to)149-154
Number of pages6
JournalProceedings - IEEE Computer Society's International Computer Software and Applications Conference
DOIs
StatePublished - Jan 1 2000

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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