Web Usage Mining for Adaptive and Personalized Websites

AutorIn[nen]	Omari, Asem Conrad, Stefan
In :	KDML 2006 : 12. Workshop der Fachgruppe Knowledge Discovery, Data Mining und Maschinelles Lernen und des Arbeitskreises Knowledge Discovery ; (Hildesheim) : 2006.10.09-11 LWA 2006 : Lernen - Wissensentdeckung - Adaptivität (Workshop 9.11.10.2006 in Hildesheim) / Martin Schaaf, Klaus-Dieter Althoff [Hrsg.]	mehr...
	Universität Hildesheim, Institut für Informatik, 2006 (Tagungsbeitrag)
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Schlagwörter	clustering data mining k-means law-enforcement semi-supervised learning
Abstract/Inhalt	The World Wide Web is an important medium for communication, data transaction and retrieving. Data mining is the process of extracting interesting patterns from a set of data sources. Web mining is the application of data mining techniques to extract useful patterns from web data. Web Mining can be divided into three categories, web usage mining, web content mining, and web structure mining. Web usage mining or web log mining is the extraction of interesting patterns from web log server entries. Those patterns are used to study user behavior and interests, facilitate support and services introduced to the website user, improve the structure of the website, and facilitate personalization and adaptive websites. This paper aims to explore various research issues in web usage mining and its application in the field of adaptive, and personalized websites.