Implementing agglomerative hierarchic clustering algorithms for use in document retrieval
Information Processing and Management: an International Journal
Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Automatic text processing
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Partitioning-based clustering for Web document categorization
Decision Support Systems - Special issue on WITS '97
Information Retrieval
Clustering web documents: a phrase-based method for grouping search engine results
Clustering web documents: a phrase-based method for grouping search engine results
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Dynamic hierarchical algorithms for document clustering
Pattern Recognition Letters
Topic-driven web search result organization by leveraging wikipedia semantic knowledge
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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Proceedings of the fourth ACM international conference on Web search and data mining
SimSpectrum: a similarity based spectral clustering approach to generate a tag cloud
ICWE'11 Proceedings of the 11th international conference on Current Trends in Web Engineering
Association rule centric clustering of web search results
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
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The paper addresses the problem of clustering text documents coming from the Web. We apply clustering to support users in interactive browsing through hierarchically organized search results as opposed to the standard ranked-list presentation. We propose a clustering method that is tailored to on-line processing of Web documents and takes into account the time aspect, the particular requirements of clustering texts, and readability of the produced hierarchy. Finally, we present the user interface of an actual system in which the method is applied to the results of a popular search engine.