Skip to main content
Springer Nature Link
Log in

Web Mining of Preferred Traversal Patterns in Fuzzy Environments

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3642))

  • 1593 Accesses

Abstract

In this paper, the linguistic evaluations and time duration on web pages are characterized as fuzzy variables in the web mining of preferred traversal patterns. The concept of fuzzy web page preference function which is a function of fuzzy linguistic evaluations, fuzzy time duration and access frequency is proposed to replace the traditional concept of confidence. The fuzzy web page preference function can be used as a judgment criterion to reveal users interest and preference. The structure of Frequent Link and Access Tree (FLaAT) which stores all user access information is introduced to avoid the loss of important information. Furthermore, an algorithm based on the fuzzy web page preference function is developed for mining users preferred traversal patterns from the structure of FLaAT. Finally an example is provided to illustrate the proposed approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Arotaritei, D., Mitra, S.: Web mining: a survey in the fuzzy framework. Fuzzy Sets and Systems 148, 5–19 (2004)

    Article  MathSciNet  Google Scholar 

  2. Chen, M., Park, J., Yu, P.: Efficient data mining for path traversal patterns. IEEE Transaction on Knowledge Data and engineering 10, 209–221 (1998)

    Article  Google Scholar 

  3. Civanlar, M., Trussel, H.: Constructing membership function using statistical data. Fuzzy Sets and Systems 18, 1–13 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  4. Cohen, E., Krishnamurthy, B., Rexford, J.: Efficient algorithm for predicting requests to web servers. In: The eighteenth IEEE Annual Joint Conference on Computer and Communications Societies, New York, pp. 284–293 (1999)

    Google Scholar 

  5. Cosala, R.: Web mining research: a survey. Acm Sigkdd. 1, 1–15 (2000)

    Article  Google Scholar 

  6. Hong, T., Chiang, M., Wang, S.: Mining weighted browsing patterns with linguistic minimum supports. In: 2002 IEEE International Conference on Systems, Man and Cybernetics, Tunisia, vol. 4, pp. 6–9 (2002)

    Google Scholar 

  7. Liu, B.: Theory and Practice of Uncertain Programming. Physica, Heidelberg (2002)

    MATH  Google Scholar 

  8. Liu, B., Liu, Y.: Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems 10, 445–450 (2002)

    Article  Google Scholar 

  9. Lo, W., Hong, T., Wang, S.: A top-down fuzzy cross-level Web-mining approach. In: 2003 IEEE International Conference on Systems, Man and Cybernetics, United States, vol. 3, pp. 2684–2689 (2003)

    Google Scholar 

  10. Perkowitz, M., Etzioni, O.: Towards adaptive web sites: conceptual framework and case study. Artificial Intelligence 118, 245–275 (2000)

    Article  MATH  Google Scholar 

  11. Schechter, S., Krishnan, M., Smith, M.: Using path profiles to predict HTTP requests. Computer Networks and ISDN Systems 30, 457–467 (1998)

    Article  Google Scholar 

  12. Wang, X., Ha, M.: Note On maxmin u/E estimation. Fuzzy Sets and Systems 94, 71–75 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  13. Xing, D., Shen, J.: Efficient data mining for web navigation patterns. Information and Software Technology 46, 55–63 (2004)

    Article  Google Scholar 

  14. Zadeh, L.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Systems Engineering, Tianjin University, Tianjin, 300072, P.R. China

    Rui Wu, Wansheng Tang & Ruiqing Zhao

  2. Shanxi Teachers University, Shanxi, 041004, P.R. China

    Rui Wu

Authors
  1. Rui Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wansheng Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ruiqing Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. Box, Poland

    Dominik Ślęzak

  2. Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    JingTao Yao  & Wojciech Ziarko  & 

  3. Department of Electrical and Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada

    James F. Peters

  4. College of Computer and Information Engineering, Hehan University, Henan, China

    Xiaohua Hu

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, R., Tang, W., Zhao, R. (2005). Web Mining of Preferred Traversal Patterns in Fuzzy Environments. In: Ślęzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548706_48

Download citation

  • DOI: https://doi.org/10.1007/11548706_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28660-8

  • Online ISBN: 978-3-540-31824-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation