Learning and predicting key web navigation patterns using bayesian models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5593 LNCS, Issue PART 2, 2009, Pages 877-887

  Hassan, Malik Tahir ^a   Junejo, Khurum Nazir ^a   Karim, Asim ^a  

^a LAHORE UNIVERSITY OF MANAGEMENT SCIENCES   (Pakistan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; BAYES RULE; BAYESIAN MODEL; HISTORICAL DATA; MARKOV CHAIN; NAVIGATION PATTERNS; PREDICTION MODEL; TEMPORAL MODELS; TIME SLOTS; WEB NAVIGATION; WEB USER BEHAVIORS;

BAYESIAN NETWORKS; BEHAVIORAL RESEARCH; FORECASTING; MARKOV PROCESSES; MATHEMATICAL MODELS;

NAVIGATION;

EID: 70350630567     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02457-3_71     Document Type: Conference Paper

References (14)

1. Huberman, B.A., Pirolli, P.L.T., Pitkow, J.E., Lukose, R.M.: Strong regularities in world wide web surfing. Science 280 (5360), 95-97 (1998)
2. Srivastava, J., Cooley, R., Deshpande, M., Tan, P.N.: Web usage mining: discovery and applications of usage patterns from web data. SIGKDD Explor. Newsl. 1(2), 12-23 (2000)
3. Borges, J., Levene, M.: Data mining of user navigation patterns. In: Masand, B., Spiliopoulou, M. (eds.) WebKDD 1999. LNCS, vol. 1836, pp. 92-112. Springer, Heidelberg (2000)
4. Manavoglu, E., Pavlov, D., Giles, C.L.: Probabilistic user behavior models. In: ICDM 2003: Proceedings of the Third IEEE International Conference on Data Mining, Washington, DC, USA, p. 203. IEEE Computer Society, Los Alamitos (2003)
5. Deshpande, M., Karypis, G.: Selective markov models for predicting web page accesses. ACM Transaction on Internet Technology 4(2), 163-184 (2004)
6. Eirinaki, M., Vazirgiannis, M., Kapogiannis, D.: Web path recommendations based on page ranking and markov models. In: WIDM 2005: Proceedings of the 7th annual ACM international workshop on Web information and data management, pp. 2-9. ACM, New York (2005)
7. Lu, L., Dunham, M., Meng, Y.: Discovery of significant usage patterns from clusters of clickstream data. In: Proceedings of WebKDD (2005)
8. Wu, J., Zhang, P., Xiong, Z., Sheng, H.: Mining personalization interest and navigation patterns on portal. In: Zhou, Z.-H., Li, H., Yang, Q. (eds.) PAKDD 2007. LNCS, vol. 4426, pp. 948-955. Springer, Heidelberg (2007)
9. Awad, M., Khan, L., Thuraisingham, B.: Predicting www surfing using multiple evidence combination. The VLDB Journal 17(3), 401-417 (2008)
10. Nguyen, E.H.S.: Ecml/pkdd: Discovery challenge. In: Proceedings of ECML/PKDD: Discovery Challenge (2007), http://www.ecmlpkdd2007.org/challenge
11. Hassan, M.T., Junejo, K.N., Karim, A.: Bayesian inference for web surfer behavior prediction. In: Proceedings of ECML/PKDD: Discovery Challenge (2007), http://www.ecmlpkdd2007.org/challenge
12. Joachims, T.: Making large-scale support vector machine learning practical. In: Advances in kernel methods: support vector learning, pp. 169-184. MIT Press, Cambridge (2007)
13. Dembczynski, K., Kottowski, W., Sydow, M.: Effective prediction of web user behaviour with user-level models. In: Proceedings of ECML/PKDD: Discovery Challenge (2007), http://www.ecmlpkdd2007.org/challenge
14. Lee, T.Y.: Predicting user's behavior by the frequent items. In: Proceedings of ECML/PKDD: Discovery Challenge (2007), http://www.ecmlpkdd2007. org/challenge