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Application of Particle Swarm Optimization and User Clustering in Web Search

  • Sumathi Ganesan
  • Sendhilkumar Selvaraju
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 32)

Abstract

User clustering is the most significant process in web usage mining. This approach tries to generate the clusters of users with the similar travels in the web search. Preprocessing is needed to extract the relevant data which is used for user clustering. Now a day Particle Swarm Optimization (PSO) approach is used in web search applications. This paper applies a Particle Swarm Optimization algorithm to web user grouping in association with the Open Directory Project (ODP) dataset. The experimental result shows that the effectiveness of Particle Swarm Optimization to be a suitable approach for web user clustering as compared to the K-means and DB-Scan clustering methods.

Keywords

Web search User clustering Swarm intelligence Particle swarm optimization ODP taxonomy 

References

  1. 1.
    Zhu, Z., Chen, X., Zhu, Q., Xie, Q.: A GA based query optimization method for web information retrieval. Appl. Math. Comput. 185, 919–930 (2007)Google Scholar
  2. 2.
    Vijaya Jumar, T., Guruprasad, H.S.: Clustering and visualization of web usage data using SOM and XML. Int. J. Emerg. Trends Technol. Comput. Sci. 2(4), 23–29 (2013)Google Scholar
  3. 3.
    Han, J., Kamber, M.: Data Mining Concepts and Techniques, 2nd edn. Morgan Kaufmann Publishers, Burlington (2006)Google Scholar
  4. 4.
    Kennedy, J., Eberhart, R.: Particle swarm optimization. IEEE International Conference Neural Networks, pp. 1942–1948 (1995)Google Scholar
  5. 5.
    Zhang, D., Lee, W.S.: Web taxonomy integration using support vector machines. International Conference World Wide Web, pp. 472–481. ACM (2004)Google Scholar
  6. 6.
    Cagnina, L., Errecalde, M., Ingaramo, D., Rosso, P.: An efficient particle swarm optimization approach to cluster short texts. Inf. Sci. 265, 36–49 (2014)CrossRefGoogle Scholar
  7. 7.
    Bakshi, S., Jagadev, A.K., Dehuri, S., Wang, G.: Enhancing scalability and accuracy of recommendation systems using unsupervised learning and particle swarm optimization. Appl. Soft Comput. 15, 21–29 (2014)Google Scholar
  8. 8.
    Tyagi, S., Bhardwaj, K.K.: Enhancing collaborative filtering recommendations by utilizing multi-objective particle swarm optimization embedded association rule mining. Swarm Evol. Comput. 13, 1–12 (2013)Google Scholar
  9. 9.
    Karabulut, M.: Fuzzy unordered rule induction algorithm in text categorization on top of geometric particle swarm optimization term selection. Knowl.-Based Syst. 54, 288–297 (2013)Google Scholar
  10. 10.
    Jaganathan, P., Jaiganesh, S.: An improved k-means algorithm combined with PSO approach for efficient web document clustering. International Conference Green Computing, Communication and Conservation of Energy, pp. 772–776 (2013)Google Scholar
  11. 11.
    Dixit, D., Kiruthika, M.: Preprocessing of web logs. Int J. Comput. Sci. Eng. 02(07), 2447–2452 (2010)Google Scholar
  12. 12.
    ODP—Open Directory Project. Available online at: http://dmoz.org/
  13. 13.
    Wibowo, A., Handojo, A., Halim, A.: Application of topic based vector space model with wordnet. International Conferences on Uncertainty Reasoning and Knowledge Engineering, pp. 133–136 (2011)Google Scholar
  14. 14.
    Zahran, B.M., Ghassan, K.: Text feature selection using particle swarm optimization algorithm. World Appl. Sci. 69–74 (2009)Google Scholar
  15. 15.
    Alireza, A. (ed.): Combining PSO and K-means to enhance data clustering. International Symposium on Telecommunications, pp. 688–691 (2008)Google Scholar
  16. 16.
    PSO available online at: www.swarmintelligence.org/tutorials.php
  17. 17.
    Steinbach, M., Karypis, G., Kumar, V.: A comparison of document clustering techniques. KDD Workshop on Text Mining pp. 1–20 (2000)Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Information Science and Technology, CEG CampusAnna UniversityChennaiIndia

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