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Knowledge Discovery from Web Usage Data: A Survey of Web Usage Pre-processing Techniques

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Information Processing and Management (BAIP 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 70))

Abstract

Knowledge discovery from Web Usage Data has become very critical in order to understand and better serve the needs of Web based applications. Web usage mining consists of three phases, namely prepro cessing, pattern discovery and pattern analysis. A survey of Web Usage Preprocessing techniques is presented in this paper.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal, 576 104

    G. Shiva Prasad, N. V. Subba Reddy & U. Dinesh Acharya

Authors
  1. G. Shiva Prasad
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  2. N. V. Subba Reddy
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  3. U. Dinesh Acharya
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Editor information

Editors and Affiliations

  1. Engineers Network, Trivandrum, Kerala, India

    Vinu V Das

  2. NSS College of Engineering, Palakkadu, Kerala, India

    R. Vijayakumar

  3. Winona State University, Winona, MN, USA

    Narayan C. Debnath

  4. Viswajiyithi College Engineering, Muvattupuzha, Kerala, India

    Janahanlal Stephen

  5. Jackson State University, Jackson, MS, USA

    Natarajan Meghanathan

  6. University of West Indies, Kingston, Jamaica

    Suresh Sankaranarayanan

  7. CGM, ACEEE, Pattom, Kerala, India

    P. M. Thankachan

  8. University of Indonesia, Depok, Indonesia

    Ford Lumban Gaol

  9. College of Engineering, Trivandrum, Kerala, India

    Nessy Thankachan

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Prasad, G.S., Reddy, N.V.S., Acharya, U.D. (2010). Knowledge Discovery from Web Usage Data: A Survey of Web Usage Pre-processing Techniques. In: Das, V.V., et al. Information Processing and Management. BAIP 2010. Communications in Computer and Information Science, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12214-9_88

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  • DOI: https://doi.org/10.1007/978-3-642-12214-9_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12213-2

  • Online ISBN: 978-3-642-12214-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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