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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MLA

Yao, Jenq-Foung (J.F.), and Yongqiao Xiao. "Traversal Pattern Mining in Web Usage Data." Encyclopedia of Information Science and Technology, First Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global Scientific Publishing, 2005, pp. 2857-2860. https://doi.org/10.4018/978-1-59140-553-5.ch508

APA

Yao, J. J. & Xiao, Y. (2005). Traversal Pattern Mining in Web Usage Data. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, First Edition (pp. 2857-2860). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-59140-553-5.ch508

Chicago

Yao, Jenq-Foung (J.F.), and Yongqiao Xiao. "Traversal Pattern Mining in Web Usage Data." In Encyclopedia of Information Science and Technology, First Edition, edited by Mehdi Khosrow-Pour, D.B.A., 2857-2860. Hershey, PA: IGI Global Scientific Publishing, 2005. https://doi.org/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

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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