http://www.bibsonomy.org/burst/user/renew/fuzzyBibSonomy BuRST Feed for /user/renew/fuzzy2008-07-21T01:20:04+02:00SpringerLink - Book Chapterhttp://www.bibsonomy.org/bibtex/2bbdcaeb1167d2eec89427b07b510605c/renewrenew2008-02-22T23:58:23+01:00clustering summarization fuzzy <span style="color:#555555;">Ren&#233; <a href="http://www.bibsonomy.org/author/Witte">Witte</a> and Sabine <a href="http://www.bibsonomy.org/author/Bergler">Bergler</a> </span><em>Advances in Artificial Intelligence</em>(<em>2007</em>)Fri Feb 22 23:58:23 CET 2008Advances in Artificial Intelligence476--488Fuzzy Clustering for Topic Analysis and Summarization of Document Collections2007clustering summarization fuzzy Large document collections, such as those delivered by Internet search engines, are difficult and time-consuming for users to read and analyse. The detection of common and distinctive topics within a document set, together with the generation ofmulti-document summaries, can greatly ease the burden of information management. We show how this can be achieved with a clusteringalgorithm based on fuzzy set theory, which (i) is easy to implement and integrate into a personal information system, (ii)generates a highly flexible data structure for topic analysis and summarization, and (iii) also delivers excellent performance.