A novel prediction model based on hierarchical characteristic of web site

Expert Systems with Applications

Volumn 38, Issue 4, 2011, Pages 3422-3430

  Lee, Chu Hui ^a   Lo, Yu Lung ^a   Fu, Yu Hsiang ^a  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Bayesian theorem; Data preprocessing; Markov model; Prediction; Web usage mining

Indexed keywords

BAYESIAN THEOREM; DATA PREPROCESSING; MARKOV MODEL; PREDICTION; WEB USAGE MINING;

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

FORECASTING;

EID: 78650681741     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.08.128     Document Type: Article

References (30)

1. S. Arayaa, M. Silvab, and R. Weberc A methodology for web usage mining and its application to target group identification Fuzzy Sets and Systems 148 2004 139 152
2. X. Chen, and X. Zhang A popularity-based prediction model for web prefetching IEEE Computer 36 3 2003 63 70
3. Y.h. Cho, and J.K. Kim Application of web usage mining and product taxonomy to collaborative recommendations in e-commerce Expert Systems with Applications 26 2004 233 246
4. Y.H. Cho, H.K. Kim, and S.H. Kim A personalized recommender system based on web usage mining and decision tree induction Expert Systems with Applications 23 2002 329 342
5. Cooley, R.; Mobasher, B.; Srivastava, J. (1997). Web mining: information and pattern discovery on the world wide web. In Proceedings of the 9th IEEE international conference on tools with artificial intelligence (pp. 558-567).
6. R. Cooley, B. Mobasher, and J. Srivastava Data preparation for mining world wide web browsing patterns Journal of Knowledge and Information System 1 10 1999 1 27
7. R. Das, and I. Turkoglu Creating meaningful data from web logs for improving the impressiveness of a web site by using path analysis method Expert Systems with Applications 36 2009 6635 6644
8. Dhyani, D.; Bhowmick, S.; Ng, W. K. (2003). Modelling and predicting web page accesses using markov processes. In Proceedings of the 14th IEEE international workshop on database and expert systems applications (pp. 332-336).
9. D. Dhyani, W.K. Ng, and S. Bhowmick A survey of web metrics ACM Computing Surveys 34 4 2002 469 503
10. J. Domnech, J.A. Gil, J. Sahuquillo, and A. Pont Web prefetching performance metrics: a survey Performance Evaluation 63 2006 988 1004
11. Eirinaki, M. (2004). Web mining: A roadmap. Athens University of Economics and Business, Department of Informatics.
12. O. Etzioni The world-wide web: Quagmire or gold mine? Communications of the ACM 39 11 1996 65 68
13. F.M. Facca, and P.L. Lanzi Mining interesting knowledge from weblogs: A survey Data and Knowledge Engineering 53 2005 225 241
14. Inbarani, H. H.; Thangavel, K.; Pethalakshmi, A. (2007). Rough set based feature selection for web usage mining. In IEEE international conference on intelligence and multimedia applications (pp. 33-38).
15. Jespersen, S.; Pedersen, T. B.; Thorhauge, J. (2003). Evaluating the Markov assumption for web usage mining. In Proceedings of the 5th ACM international workshop on web information and data management (pp. 82-89).
16. R. Kosala, and H. Blockell Web mining research: A survey ACM Special Interest Group on Knowledge Discovery and Data Mining Explorations 2 1 2000 1 15
17. Lee, C. H.; Fu, Y. H. (2008). Two levels of prediction model for user's browsing behavior. In IAENG international conference on internet computing and web services (pp. 751-756).
18. Liu, L.; Chen, J.; Song, H. (2002). The research of web mining. In Proceedings of the 4th IEEE world congress on intelligent control and automation (pp. 2333-2337).
19. B. Mobasher, R. Cooley, and J. Srivastava Automatic personalization based on web usage mining Communications of the ACM 43 8 2000 142 151
20. G. Pallis, L. Angelis, and A. Vakali Validation and interpretation of web users' sessions clusters Information Processing and Management 43 2007 1348 1367
21. Palpanas, T. (1998). Web prefetching using partial match prediction. University of Toronto, Department of Computer Science.
22. Pitkow, J.; Pirolli, P. (1999). Mining longest repeating subsequences to predict world wide web surfing. In Proceedings of the 2nd conference on USENIX symposium on internet technologies and systems (pp. 139-150).
23. R.R. Sarukkai Link prediction and path analysis using Markov chains Computer Networks 33 2000 377 386
24. A. Sen, P.A. Dacin, and C. Pattichis Current trends in web data analysis Communications of ACM 49 11 2006 85 91
25. J. Srivastava, R. Cooley, M. Deshpande, and P.N. Tan Web usage mining: Discovery and applications of usage patterns from web data ACM Special Interest Group on Knowledge Discovery and Data Mining Explorations 1 2 2000 12 23
26. Suresh, R. M.; Padmajavalli, R. (2006). An overview of data preprocessing in data and web usage mining. In The 1st IEEE international conference on digital information management (pp. 193-198).
27. D. Tanasa, and B. Trousse Advanced data preprocessing for intersites web usage mining IEEE Intelligent Systems 19 2 2004 59 65
28. Y.H. Tao, T.P. Hong, and Y.M. Su Web usage mining with intentional browsing data Expert Systems with Applications 34 2008 1893 1904
29. R. Walpole, R. Myers, S. Myers, and K. Ye Probability and statistics for engineers and scientists 7th ed. 2002 Prentice Hall (pp. 82-87)
30. Wang, B.; Liu, Z. (2003). Web mining research. In Proceedings of the 5th IEEE international conference on computational intelligence and multimedia applications (pp. 84-89).