Počet záznamů: 1

Web Data Clustering

  1. 1.
    0355771 - UIVT-O 2011 RIV DE eng M - Část monografie knihy
    Húsek, Dušan - Pokorný, J. - Řezanková, H. - Snášel, V.
    Web Data Clustering.
    Foundations of Computational Intelligence. Vol. 4. Berlin: Springer, 2009 - (Abraham, A.; Hassanien, A.; de Carvalho, A.), s. 325-353. Studies in Computational Intelligence, 204. ISBN 978-3-642-01087-3
    Grant CEP: GA AV ČR 1ET100300419
    Výzkumný záměr: CEZ:AV0Z10300504
    Klíčová slova: clustering methods * web environment * neural networks
    Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum

    This chapter provides a survey of some clustering methods relevant to clustering Web elements for better information access. We start with classical methods of cluster analysis that seems to be relevant in approaching the clustering of Web data. Graph clustering is also described since its methods contribute significantly to clustering Web data. The use of artificial neural networks for clustering has the same motivation. Based on previously presented material, the core of the chapter provides an overview of approaches to clustering in the Web environment. Particularly, we focus on clustering Web search results, in which clustering search engines arrange the search results into groups around a common theme. We conclude with some general considerations concerning the justification of so many clustering algorithms and their application in the Web environment.
    Trvalý link: http://hdl.handle.net/11104/0194459