Traversal Pattern Mining in Web Usage Data

Jenq-Foung (J.F.) Yao; Yongqiao Xiao

doi:10.4018/978-1-59140-553-5.ch508

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Traversal Pattern Mining in Web Usage Data

Jenq-Foung (J.F.) Yao (Georgia College & State University, USA) and Yongqiao Xiao (SAS Co., USA)

Source Title: Encyclopedia of Information Science and Technology, First Edition

DOI: 10.4018/978-1-59140-553-5.ch508

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Abstract

Web usage mining is designed to discover useful patterns in Web usage data, i.e., Web logs. Web logs record the user’s browsing of a Web site, and the patterns provide useful information about the user’s browsing behavior. Such patterns can be used for Web design, improving Web server performance, personalization, etc.

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Traversal Pattern Mining in Web Usage Data

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