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Bayesian Classifier Web Object Filters for User Navigation with Validation Cross Point

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 52 - Number 16
Year of Publication: 2012
A. K. Santra
S. Jayasudha

A K Santra and S Jayasudha. Article: Bayesian Classifier Web Object Filters for User Navigation with Validation Cross Point. International Journal of Computer Applications 52(16):42-48, August 2012. Full text available. BibTeX

	author = {A. K. Santra and S. Jayasudha},
	title = {Article: Bayesian Classifier Web Object Filters for User Navigation with Validation Cross Point},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {52},
	number = {16},
	pages = {42-48},
	month = {August},
	note = {Full text available}


Web caching and pre fetching plays a significant role among the users and websites in reducing the response time of user requests and saving the network bandwidth. The websites which are most likely visited are stored under web cache and web pre-fetch to retrieve them later shortly. Thus web caching and web pre-fetch are one of the most thriving resolutions for enhancing the performance of the web-based systems. However, the complexity in formatting the ideal Web objects that will be re-visited in the prospect is still a trouble faced by an existing conventional cluster based caching techniques. In this work, Bayesian classifier is used for web object filtering process which enhances the performance of caching techniques. Apart from that, the validation process is also being taken place to improve the user navigation process under web based systems. The validation is made of user identity on web product navigation is done with User-profile relativity to national identification number. Web services enable the product vendor regarding the demand of their products by specific valid users. The validation is done with both the existing cluster based web object filters and the proposed classifier based web object filters and compares the results with it. An experimental evaluation is done with the several log files to estimate the performance of the proposed validation check for Bayesian classifier and cluster based web object filters for web user navigation in terms of efficiency of classification, validation, performance rate and compared with an existing cluster based web object filters and identified the better web caching technique.


  • Teng WG, Chang CY, Chen MS (2005). Integrating Web caching and Web prefetching in client-side proxies. IEEE Trans Parallel Distributed Syst;16(5):444–55.
  • J. B. Patil et. al. (Feb 2011), "Integrating intelligent predictive caching and static prefetching in web proxy servers", International Journal on Computer Science and Engineering (IJCSE), Vol. 3 No. 2 .
  • J. N. Kok et al. (2007), "IKNN: Informative K-Nearest Neighbor Pattern Classification", (Eds. ): PKDD 2007, LNAI 4702, pp. 248–264.
  • J. B. Patil and B. V. Pawar (2008) , "GDSF#, A Better Algorithm that Optimizes Both Hit Rate and Byte Hit Rate in Internet Web Servers", International Journal of Computer Science and Applications, ISSN: 0972-9038, Volume 5, Number 4, Pages 1-10.
  • Sulaiman, S. , Shamsuddin, S. M. , Forkan, F. , Abraham, A. (2008): Intelligent Web caching using neurocomputing and particle swarm optimization algorithm. Second Asia International Conference on Modeling & Simulation( AICMS08).
  • Ali, W. , Shamsuddin, S. M. , Ismail, A. S(2011): A survey of Web caching and prefetching. Int. J. Advance. Soft Comput. Appl. 3(1), 18-44 .
  • Oliveira, L. S. C. , Andreão, R. V. , Sarcinelli-Filho, M. (2010): The Use of Bayesian Networks for Heart Beat Classification, in Brain Inspired Cognitive Systems 2008, A. Hussain, et al. , Editors. 2010, SpringerNew York. p. 217-231.
  • Kumar, C. (2009): Performance evaluation for implementations of a network of proxy caches. Decision Support Systems 46(2), 492–500.
  • Waleed Ali, Siti Mariyam Shamsuddin et. al (2012) . , "Intelligent Bayesian Network-Based Approaches for Web Proxy Caching", Journal on knowledge based systems, Volume 31, July,
  • Kaya, C. C. , Zhang, G. , Tan, Y. , Mookerjee, V. S. (2009): An admission-control technique for delay reduction in proxy caching. Decision Support Systems 46(2), 594–603.
  • Ali, W. , Shamsuddin, S. M. , Ismail, A. S. (2011): Web proxy cache content classification based on support vector machine. Journal of Artificial Intelligence 4(1), 100–109
  • Ali Ahmed, W. , Shamsuddin, S. M. (2011): Neuro-fuzzy system in partitioned client-side Web cache. Expert Systems with Applications 38(12),14715-14725.