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Data Preprocessing in Web Usage Mining

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

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  • Xiang-ying Li

    (Shandong Youth University of Political Science)

Abstract

At present, the study on Web Usage Mining mainly focuses on pattern discovery (including Association Rules, sequence pattern, etc) and pattern analysis. However, the study on the main data sources, that is to say, the study on web-log pre-process is relatively rare. Given that high-quality data helps a lot in improving Pattern mining precision, this paper studies from this aspects, and proposes the high-effective data preprocessing method.

Suggested Citation

  • Xiang-ying Li, 2013. "Data Preprocessing in Web Usage Mining," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 257-266, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_27
    DOI: 10.1007/978-3-642-38391-5_27
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    Cited by:

    1. Trakunphutthirak Ruangsak & Cheung Yen & Lee Vincent C. S., 2017. "Conceptualizing Mining of Firm’s Web Log Files," Journal of Systems Science and Information, De Gruyter, vol. 5(6), pages 489-510, December.

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