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A Survey of Web-Usage Mining: Techniques for Building Web-Based Adaptive Hypermedia Systems

A Survey of Web-Usage Mining: Techniques for Building Web-Based Adaptive Hypermedia Systems

Martha Koutri, Nikolaos Avouris, Sophia Daskalaki
Copyright: © 2005 |Pages: 25
ISBN13: 9781591405672|ISBN10: 159140567X|ISBN13 Softcover: 9781591405368|EISBN13: 9781591405375
DOI: 10.4018/978-1-59140-567-2.ch007
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MLA

Koutri, Martha, et al. "A Survey of Web-Usage Mining: Techniques for Building Web-Based Adaptive Hypermedia Systems." Adaptable and Adaptive Hypermedia Systems, edited by Sherry Y. Chen and George D. Magoulas, IGI Global, 2005, pp. 125-149. https://doi.org/10.4018/978-1-59140-567-2.ch007

APA

Koutri, M., Avouris, N., & Daskalaki, S. (2005). A Survey of Web-Usage Mining: Techniques for Building Web-Based Adaptive Hypermedia Systems. In S. Chen & G. Magoulas (Eds.), Adaptable and Adaptive Hypermedia Systems (pp. 125-149). IGI Global. https://doi.org/10.4018/978-1-59140-567-2.ch007

Chicago

Koutri, Martha, Nikolaos Avouris, and Sophia Daskalaki. "A Survey of Web-Usage Mining: Techniques for Building Web-Based Adaptive Hypermedia Systems." In Adaptable and Adaptive Hypermedia Systems, edited by Sherry Y. Chen and George D. Magoulas, 125-149. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-567-2.ch007

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Abstract

This chapter discusses Web usage mining techniques that can be applied for building adaptive hypermedia systems. These techniques are used for uncovering hidden patterns within Web access data and then for building the user model that lies in the heart of each adaptive system. Web access data, traditionally stored in the server log files, constitute a rich source of data collected in a non-intrusive way that guards the privacy of users. Several Web usage mining approaches have been proposed for exposing usage patterns, with the most prominent ones being cluster mining, association rule mining, and sequential pattern mining. This chapter provides an overview of the state of the art in research of Web usage mining, and discusses the most relevant criteria for deciding on the suitability of these techniques for building an adaptive Web site. Moreover, the different types of patterns revealed from Web usage mining are correlated with different adaptation aspects.

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