Web mining

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Web mining

Analyzing a website or all of the Web. Web "usage" mining determines the navigation patterns of users on a site and is derived from the server logs. Web "structure" mining examines the link hierarchy of a site in order to improve navigation. Web "content" mining explores the data contained in related sites in order to provide better resources for visitors. See data mining and text mining.
References in periodicals archive ?
Most of the research efforts in Web personalization correspond to the evolution of extensive research in Web usage mining (Becchetti, 2010; Kavita Das, 2011).
A Novel Technique for Sessions Identification in Web Usage Mining Preprocessing", International Journal of Computer Applications, 34(9).
An algorithmic approach to data preprocessing in web usage mining, International Journal of Information Technology and Knowledge Management, 2(2): 279283.
Algorithm for Tracing Visitors' On-Line Behaviors for Effective Web Usage Mining, International Journal of Computer Applications, 87(3): 0975-8887.
Most of the works in Web Usage Mining is related to user behaviour.
This statistic is a non parametric test suitable to distributions that are not normal such as the exponential distributions observed in web usage mining or web log analysis [15].
Preprocessing and Content/Navigational Pages Identification as Premises for an Extended Web Usage Mining Model Development.
A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites", IEEE transaction on Knowledge and dataengineering,Volume 20,Issue 2, Feb 2008 pp.
Automatic personalization based on Web usage mining.
Jayakarthik, Improvement of the non functional requirement using the web personalization with the adaptation of web usage mining, International Journal of Computing Technology, Vol II, No 4, March 2012.
Web Usage Mining for a Better Web-based Learning Environment.
Relevance and Impact of Tabbed Browsing Behavior on Web Usage Mining.