Effective web log mining and online navigational pattern prediction

Knowledge-Based Systems

Volumn 49, Issue , 2013, Pages 50-62

  Guerbas, Abdelghani ^b   Addam, Omar ^b   Zaarour, Omar ^b   Nagi, Mohamad ^b   Elhajj, Ahmad ^b,c   Ridley, Mick ^b   Alhajj, Reda ^a  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSITY OF BRADFORD   (United Kingdom)

^c GLOBAL UNIVERSITY   (Lebanon)

Author keywords

Indexing; Navigation; Pattern analysis; Prediction; Web mining; Weblog mining

Indexed keywords

CONVENTIONAL METHODS; DATA MINING TASKS; DENSITY-BASED ALGORITHM; NAVIGATIONAL PATTERNS; ONLINE PREDICTION; PATTERN ANALYSIS; SESSION IDENTIFICATION; WEB MINING;

DATA MINING; FORECASTING; INDEXING (OF INFORMATION);

NAVIGATION;

EID: 84879885980     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.04.014     Document Type: Article

References (31)

1. M. Agosti, G.M.D. Nunzio, Web log mining: a study of user sessions, in: Proceedings of the 10th DELOS Thematic Workshop on Personalized, June 2007.
2. M. Ankerst, M. Breunig, H. Kriegel, and J. Sander OPTICS: ordering points to identify the clustering structure Sigmod Record 28 2 1999 49 60
3. B. Berendt, B. Mobasher, M. Nakagawa, and M. Spiliopoulou The impact of site structure and user environment on session reconstruction in web usage analysis Webkdd 2002 - Mining Web Data For Discovering Usage Patterns and Profiles 2003 159 179
4. B. Berendt, B. Mobasher, M. Spiliopoulou, J. Wiltshire, Measuring the accuracy of sessionizers for web usage analysis, in: Paper presented at the Workshop on Web Mining, First SIAM Internat. Conf. on Data Mining, Chicago, IL, 2001.
5. L. Catledge, and J. Pitkow Characterizing browsing strategies in the world-wide-web Computer Networks and Isdn Systems 1995 1065 1073
6. M. Chen, J. Park, P. Yu, Data mining for path traversal patterns in a web environment, in: Proceedings of the 16th International Conference on Distributed Computing Systems, 1996, pp. 385-392.
7. R. Cooley, B. Mobasher, and J. Srivastava Data preparation for mining world wide web browsing patterns Knowledge and Information Systems. 1 1 1999
8. M. Eirinaki, and M. Vazirgiannis Web mining for web personalization ACM Trans Inter Tech. 3 2003 1 27
9. M. Ester, H.-P. Kriegel, J. Sander, X. Xu, A density-based algorithm for discovering clusters in large spatial database with noise, in: Proceedings of the 2nd Int. Conference on Knowledge Discovery in Databases and Data Mining, Portland, Oregon, August 1996.
10. F. Facca, and P. Lanzi Recent developments in Web Usage Mining research Data Warehousing and Knowledge Discovery Proceedings 2003 140 150
11. S. Gunduz, M. Ozsu, A web page prediction model based on click-stream tree representation of user behavior, in: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2003.
12. D. He, A. Göker, Detecting session boundaries from web user logs, in: Proceedings of the 22nd Annual Colloquium of IR Research, Cambridge UK, April 2000.
13. J.M. Hernansaez, J.A. BotIa, and A.F. Skarmeta A java technology based distributed software architecture for web usage mining A. Scime, Web Mining: Applications and Techniques 2005 Idea Group Publishing 355 372
14. Y.-F. Huang, and J.-M. Hsu Mining web logs to improve hit ratios of prefetching and caching Knowledge-Based Systems 21 1 2008 62 69
15. Y.-M. Huang, Y.-H. Kuo, J.-N. Chen, and Y.-L. Jeng NP-miner: a real-time recommendation algorithm by using web usage mining Knowledge-Based Systems 19 4 2006 272 286
16. Z. Huiying, L. Wei, An intelligent algorithm of data pre-processing in web usage mining, in: Proceedings of the World Congress on Intelligent Control and Automation, 2004.
17. J. Lei, and A. Ghorbani The reconstruction of the interleaved sessions from a server log 2004 Advances in Artificial Intelligence 133 145
18. Y. Li, and N. Zhong Web mining model and its applications for information gathering Knowledge-Based Systems 17 5-6 2004 207 217
19. A.G. Lourenço, O.O. Belo, Catching web crawlers in the act, in: Proceedings of the 6th International Conference on Web Engineering, Palo Alto, California, USA, 2006.
20. B. Mobasher Data mining for web personalization P. Brusilovsky, A. Kobsa, W. Neidl, The Adaptive Web vol. 4321 2007 Springer Berlin/Heidelberg New York 90 135
21. B. Mobasher, H. Dai, T. Luo, and M. Nakagawa Discovery and evaluation of aggregate usage profiles for web personalization Data Mining and Knowledge Discovery 2002 61 82
22. A. Montgomery, and C. Faloutsos Identifying web browsing trends and patterns Computer 2001 94 95
23. NASA (95), HTTP requests to the NASA WWW server in Florida, < http://ita.ee.lbl.gov/html/contrib/NASA-HTTP.html > (retrieved 25.05.10).
24. Z. Pabarskaite, and A. Raudys A process of knowledge discovery from web log data: systematization and critical review Journal of Intelligent Information Systems 2007 79 104
25. M. Perkowitz, O. Etzioni, Adaptive websites: automatically synthesizing web pages, in: Fifteenth National Conference on Artificial Intelligence (AAAI-98) and Tenth Conference on Innovative Applications of Artifical Intelligence (IAAI-98) - Proceedings, 1998, pp. 727-732.
26. robotstxt.org, Robots Pages. < http://www.robotstxt.org/ > (retrieved 24.05.10).
27. J. Srivastava, R. Cooley, M. Deshpande, and P.-N. Tan Web usage mining: discovery and applications of usage patterns from web data SIGKDD Explorations 1 2 2000 12 23
28. D. Tanasa, Web Usage Mining: Contributions to Intersites Logs Preprocessing and Sequential Pattern Extraction with Low Support. Universite de Nice Sophia Antipolis - UFR Sciences, 2005.
29. Y. Xiao, and M. Dunham Efficient mining of traversal patterns Data and Knowledge Engineering 2001 191 214
30. H. Zhang, A. Ghorbani, The reconstruction of user sessions from a server log using improved time-oriented heuristics, in: Second Annual Conference on Communication Networks and Services Research, Proceedings, 2004, pp. 315-322.
31. W. Zhuang, Y. Zhang, J.F. Grassle, Identifying erroneous data using outlier detection techniques, in: E. Vanden Berghe, et al. (Eds.), Proceedings Ocean Biodiversity Informatics: International Conference on Marine Biodiversity Data Management, Hamburg, Germany 29 November to 1 December, 2004. VLIZ Special Publication, vol. 37, 2007, pp. 187-192.