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Challenges concerning web data mining

In: Compstat 2006 - Proceedings in Computational Statistics

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  • Wolfgang Gaul

    (University of Karlsruhe, Institute for Decision Theory and Operations Research)

Abstract

For many WEB mining tasks very large sets of EB data have to be analyzed. We give an overview concerning interesting WEB mining applications, sketch selected data analysis techniques that are appropriate for WEB data mining, and describe some new algorithms that allow to derive new solutions for WEB mining problems. Additional challenges concern the provision of results of WEB mining tasks, e.g., delivery and personalization. We will conclude with some hints for further research in WEB data mining.

Suggested Citation

  • Wolfgang Gaul, 2006. "Challenges concerning web data mining," Springer Books, in: Alfredo Rizzi & Maurizio Vichi (ed.), Compstat 2006 - Proceedings in Computational Statistics, pages 403-416, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-1709-6_32
    DOI: 10.1007/978-3-7908-1709-6_32
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