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Web Log Mining

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Web Intelligence

Abstract

In the design and implementation of an Intelligent Web Information System (IWIS), it is necessary to consider the learning and discovery functionalities that produce the required knowledge of the system. Web log files provide a useful resource for the discovery of useful knowledge. In the context of IWIS, we present a brief survey of Web log mining. An overview of the more general topic known as Web mining is given first. Web log mining is then reviewed by focusing on three important aspects, namely, data preparation, Web log mining, and applications.

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Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, S4S 0A2

    Zhiyong Lu & Yiyu Yao

  2. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

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  1. Zhiyong Lu
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  2. Yiyu Yao
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Editors and Affiliations

  1. Knowledge Information Systems Lab., Dept. of Systems and Information Eng., Maebashi Institute of Technology, 460-1 Kamisadori-Cho, 371-0816, Maebashi-City, Japan

    Ning Zhong

  2. Dept. of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China

    Jiming Liu

  3. Dept. of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    Yiyu Yao

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Lu, Z., Yao, Y., Zhong, N. (2003). Web Log Mining. In: Zhong, N., Liu, J., Yao, Y. (eds) Web Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05320-1_9

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  • DOI: https://doi.org/10.1007/978-3-662-05320-1_9

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