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A Case Study on the Real-Time Click Stream Analysis System

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Computational and Information Science (CIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

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Abstract

The Internet is one of the most significant and efficient ways for communication technology which has the potential to revolutionize business and marketing techniques. To understand efficiently who is visiting our Web site and how they are using it is the primary key for the success of the marketing based on Internet. The traffic analysis systems via Web server log files only provide partial and non-real time information about customer activities on your Web site, it’s insufficient to support better business decisions which need detailed and real time information about customers’ activities on your Web site. In this paper, we provide our experiences on an implementation of the sophisticated analysis system based on click stream analysis technologies. A case study is also provided to show practical values of this system.

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Author information

Authors and Affiliations

  1. Somansa, Woolim e-Biz, Yangpyeongdong, Yeongdeungpogu, Seoul, Korea

    Sangkyun Kim

  2. Department of Computer and Industrial Engineering, Yonsei University, 134, Shinchondong, Seodaemoongu, Seoul, Korea

    Choon Seong Leem

Authors
  1. Sangkyun Kim
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  2. Choon Seong Leem
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Editor information

Editors and Affiliations

  1. School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China

    Jun Zhang

  2. College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China

    Ji-Huan He

  3. BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuxi Fu

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© 2004 Springer-Verlag Berlin Heidelberg

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Kim, S., Leem, C.S. (2004). A Case Study on the Real-Time Click Stream Analysis System. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_122

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  • DOI: https://doi.org/10.1007/978-3-540-30497-5_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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