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Published in:
2010 | OriginalPaper | Chapter
Inspired Rule-Based User Identification
Authors : Peng Yang, Yan Zheng
Published in: Advanced Data Mining and Applications
Publisher: Springer Berlin Heidelberg
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Web log mining is an important branch of Web usage mining. It is a kind of specific application of data mining. It can find Web user mode of behavior through processing server-side log files, and further improve the structure of the website or provide users with personalized service. Data preprocessing is an important step of Web log mining. In general, data preprocessing is divided into four steps: data cleaning, user identification, session identification, path supplement, transaction identification. This paper proposes a user identification method which is based on inspired rules. Experiment results prove the effectiveness of this method.