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Web Data Clustering

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Book cover Foundations of Computational Intelligence Volume 4

Part of the book series: Studies in Computational Intelligence ((SCI,volume 204))

Abstract

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.

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Authors and Affiliations

  1. Institute of Computer Science, Academy of the Sciences of the Czech Republic, Pod vodárenskou věží 2, 182 07, Praha 8, Czech Republic

    Dušan Húsek

  2. Department of Software Engineering, Charles University, Malostranské náměstí 25, 118 00, Praha 1, Czech Republic

    Jaroslav Pokorný

  3. Department of Statistics and Probability, University of Economics, Pragu enám. W. Churchilla 4, 130 67, Praha 3, Czech Republic

    Hana Řezanková

  4. Department of Computer Science, Technical University of Ostrava, 17. listopadu 15, 708 33, Ostrava-Poruba, Czech Republic

    Václav Snášel

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  1. Dušan Húsek
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  2. Jaroslav Pokorný
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  3. Hana Řezanková
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  4. Václav Snášel
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Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071-2259, Auburn, Washington, USA

    Ajith Abraham

  2. College of Business Administration, Quantitative and Information System Department, Kuwait University, P.O. Box 5486, 13055, Safat, Kuwait

    Aboul-Ella Hassanien

  3. Department of Computer Science, University of São Paulo,SCE - ICMSC - USP, Caixa Postal 668, 13560-970, Sao Carlos, SP, Brazil

    André Ponce de Leon F. de Carvalho

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Húsek, D., Pokorný, J., Řezanková, H., Snášel, V. (2009). Web Data Clustering. In: Abraham, A., Hassanien, AE., de Carvalho, A.P.d.L.F. (eds) Foundations of Computational Intelligence Volume 4. Studies in Computational Intelligence, vol 204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01088-0_14

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