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Web Users’ Classification Using Fuzzy Neural Network

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

With the increasing of data and Web users in the Internet, it is necessary and significant to identify users for offering further possible personalized services. To implement this goal, we used the users’ surfing historical data stored in the Web log as features for classification. This paper aims to develop some techniques to achieve this objective using fuzzy neural networks (FNNs). Experimental results demonstrate the effectiveness of our proposed approach.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, P.R.China

    Fang Yuan & Ge Yu

  2. College of Mathematics and Computer Science, Hebei University, Baoding, Hebei, 071002, P.R.China

    Fang Yuan & Huanrui Wu

  3. Department of Mathematics and Computer Science, Baoding Teachers College, Baoding, Hebei, 071051, P.R.China

    Huanrui Wu

Authors
  1. Fang Yuan
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  2. Huanrui Wu
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  3. Ge Yu
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Yuan, F., Wu, H., Yu, G. (2004). Web Users’ Classification Using Fuzzy Neural Network. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_139

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_139

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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