International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 7 | Year 2013 | Article Id. IJCTT-V4I7P116 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I7P116

Web Page Prediction Techniques: A Review

Sunil Kumar, Ms. Mala Kalra

Citation :

Sunil Kumar, Ms. Mala Kalra, "Web Page Prediction Techniques: A Review," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 7, pp. 2062-2066, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I7P116

Abstract

this paper proposes a survey of Web Page Prediction Techniques. Prefetching of Web page has been widely used to reduce the access latency problem of the Web users. However, if Prefetching of Web page is not accurate and Prefetched web pages are not visited by the users in their accesses, the limited bandwidth of network and services of server will not be used efficiently and may face the access delay problem. Therefore, it is critical that we have an effective prediction method during prefetching. The Markov models have been widely used to predict and analyse user‘s navigational behaviour. All the activities of web users have been saved in web log files. The stored users’ session is used to extract popular web navigation paths and predict current users’ next web page visit.

Keywords

Web Usage Mining, Clustering, Markov Model, User Sessions, N-Grams.

References

[1] “WEB (World Wide Web)”. Available at http://compnetworking.about.com/cs/worldwideweb/g/bl def_www.htm. [Online]
[2] S.K.Madria, S.S.Bhowmick, W.K.Ng, and E.P.Lim. “ Research issues in Web data mining”.  In Proceedings of Data Warehousing and Knowledge Discovery, First International Conference, DaWaK 1999.
[3] Raymond Kosala, Hendrik Blockeel, “Web Mining Research”: A Survey, ACM SIGKDD Explorations Newsletter, Volume 2 Issue 1, June 2000.
[4] Wang Jicheng, Huang Yuan, Wu Gangshan, Zhang Fuyan. “Web mining: knowledge discovery on the Web”. In Proceedings of Systems, Man, and Cybernetics IEEE SMC Conference, 1999.
[5] Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pag-Ning Tan, “Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data”, ACM SIGKDD Explorations Newsletter, Volume 1 Issue January 2000. 
[6]  S. Chakrabarti, B. E. Dom, S. R. Kumar, P. Raghavan, S. Rajagopalan, A.Tomkins, D. Gibson, and J. Kleinberg, “Mining the Web’s link structure”. Computer, 32(8):6067, 1999.
[7]  M. Deshpande, G. Karypis, “Selective Markov Models for Predicting Web Page Accesses,” ACM transactions on Internet Technology, volume 4, No.2, pp.163-184, May 2004
[8]  Teknomo, Kardi. “K-Means Clustering”. Conferences in Research and Practice in Information Technology, Volume 74.  July 2007.
[9]    T. Joachims, D. Freitag, and T. Mitchell, “WebWatcher: A tour guide for the World Wide Web”, in Proceedings of IJCAI, pp. 770–777, 1999.
[10] Z. Su, Q. Yang, Y. Lu, and H. Zhang, “WhatNext: A prediction system for Web requests using n-gram sequence models”,  in Proceedings of 1st Int. Conference Web Inf. Syst. Eng. Conference, Hong Kong pp. 200–207, Jun. 2000.
[11]  M. Levene and G. Loizou, “Computing the entropy of user navigation in theWeb,” Int. J. Inf. Technol. Decision Making, volume 2, no. 3, pp. 459–476, 2003.
[12]  M. Deshpande, G. Karypis, “Selective Markov Models for Predicting Web Page Accesses,” ACM transactions on Internet Technology, volume 4, No.2, pp.163-184, May 2004
[13]   M. Awad, L. Khan, and B. Thuraisingham, “Predicting WWW surfing using multiple evidence combination,” VLDB J., volume 17, no. 3, pp. 401–417, May 2008.
[14]  M. Awad and L. Khan, “Web navigation prediction using multiple evidence combination and domain knowledge,” IEEE Trans. Syst., Man,Cybern. A, Syst., Humans, volume 37, no. 6, pp. 1054–1062, Nov. 2007.
[15]  M. T. Hassan, K. N. Junejo, and A. Karim, “Learning and predicting key Web navigation patterns using Bayesian models,” in Proceedings of Int. Conf. Comput. Sci. Appl. II, Seoul, Korea, pp. 877–887, 2009. 
[16]   F.Khalil, J. Li, H. Wang, “An Integrated Model for Next     Page Access Prediction”,  Inderscience Enterprises Ltd., 2009.
[17]  Bhawna Nigamand Dr. Suresh Jain, “Analysis of Markov Model on Different Web Prefetching and Caching Schemes”, 978-1-4244-5967-4/10/ 2010 IEEE
[18]  Mamoun A. Awad and Issa Khalil, “Prediction of User’s Web-Browsing Behavior: Application of Markov Model,” IEEE Trans. Syst., Man,Cybern. A, Syst., Humans, volume 42, no. 4, pp., Aug. 2012.
[19] Poornalatha G, Prakash S Raghavendra, “Web Page Prediction by Clustering and Integrate Distance Measures” IEEE/ ACM Trans. Syst., Man,Cybern. A, Syst., Humans, volume 44, no. 2, pp., Sep. 2012.
[20] J.Han and M.Camber, “Data Mining - Concepts and techniques ", University of Illinois at UrbanaChampaign, Second Edition-2000
[21] B. Hay, G. Wets, K. Vanhoof, “Mining Navigation Patterns Using a Sequence Alignment Method,” Journal of Knowledge and Information Systems, SpringerVerlag, pp. 150-163, 2004