@inproceedings{2b44fb55a771473f85dfd9f54dc48d40,
title = "Semantic based real-time clustering for PubMed literatures",
abstract = "This paper addresses to use the latent semantic topology to real-time cluster the literatures retrieved by PubMed in response to clinical queries and evaluates its performance by professional experts. The result shows that semantic clusters properly offer an exploratory view on the returned search results, which saves users' time to understand them. Besides, most experts conceive that the documents assigned to the identical cluster are similar and the concepts of clusters are appropriate.",
keywords = "Combinatorial topology, Real-time, Semantic clustering, Web mining",
author = "Yeh, {Ruey Ling} and Ching Liu and Ben-Chang Shia and I-Jen Chiang and Yang, {Wen Wen} and Tsai, {Hsiang Chun}",
year = "2007",
language = "English",
isbn = "9783540754879",
volume = "4755 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "291--295",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "10th International Conference on Discovery Science, DS 2007 ; Conference date: 01-10-2007 Through 04-10-2007",
}