Challenges concerning web data mining

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

A chapter in Compstat 2006 - Proceedings in Computational Statistics, 2006, pp 403-416 from Springer

Abstract: 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.

Keywords: Association Rule; Recommender System; Knowledge Organization; Market Basket; Dual Scaling (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1709-6_32

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DOI: 10.1007/978-3-7908-1709-6_32

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