Asian Journal of Computer Science and Technology (AJCST)
Taxonomical Classification of Web Usage Mining Applications and its Ontological Representation
Author : Satyaveer Singh and Mahendra Singh AswalVolume 7 No.3 October-December 2018 pp 39-43
Abstract
Web usage mining is used to find out fascinating consumer navigation patterns which can be applied to a lot of real-world problems, such as enriching websites or pages, generating newly topic or product recommendations and consumer behavior studies, etc. In this paper, an attempt has been made to provide a taxonomical classification of web usage mining applications with two levels of hierarchy. Further, the ontology for various categories of the web usage mining applications has been developed and to prove the completeness of proposed taxonomy, a rigorous case study has been performed. The comparative study with other existing classifications of web usage mining applications has also been performed.
Keywords
Classification, Ontology, Web usage mining applications, Taxonomy
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References
[1] J. Srivastava, R. CooleY, M. Deshpande and P. Tan, “Web usage mining: discovery and applications of usage patterns from web data”, SIGKDD Explorations, ACM, Jan. 2000.
[2] X. Li and S. Zhang, “Applications of web usage mining in e-learning platform”, International Conference on E-Business and E-Government, IEEE, 2010.
[3] S. Sisodia and S. Verma, “Web usage pattern analysis through web logs: a review”, Nine International Joint Conferences on Computer Science and Software Engineering, IEEE, 2012.
[4] L. H. Suadaa, “A survey on web usage mining techniques and applications”, International Conference on Information Technology Systems and Innovations (ICITSI), IEEE, Bandung-Bali, Nov. 2014.
[5] S. Aggarwal and V. Mangat, “Application areas of web usage mining”, Fifth International Conference on Advanced Computing and Communications Technologies, IEEE, 2015.
[6] B. K. Malviya and J. Agrawal, “A study on web usage mining: theory and applications”, Fifth International Conference on Communication System and Network Technologies, IEEE, 2015.
[7] M. Aldekhail, “Application and significance of web usage mining in the 21st century: a literature review”, International Journal of Computer Theory and Engineering, Vol. 8, No. 1, Feb. 2016.
[8] J. N. Shrivastava and S. P. Singh, “A survey of web usage mining: concepts with applications and its future scope”, International Journal of Computer Science Trends and Technology, Vol. 4, No. 2, Apr. 2016.
[9] Taxonomy – From Wikipedia, the free encyclopaedia. [Online] Available: http://en.wikipedia.org/wiki/Taxonomy, [accessed 12/07/2018].
[10] S. Dalal, S. Kumar and V. Dixit, “Web mining an application of data mining”, International Journal of Computer Science and Information Technology Research, Vol. 2, No. 3, 2014.
[11] Prasanth, “Web personalization using web usage mining techniques”, International Journal of Current Engineering and Scientific Research, Vol. 3, No. 3, 2016.
[12] M. Bolin, M. Webber M, and et al. “Automation and customization of rendered web pages”, Proceedings of UIST, ACM Press, 2005.
[13] B. Mobasher, R. Cooley and J. Srivastava, “Automatic personalization based on web usage mining”, Communications of the ACM, 2000.
[14] Jena-a semantic web framework for Java. [Online] Available: https://jena.apache.org/,[accessed 12/07/2018].
[15] Graphviz -Graph Visualization Software. [Online] Available: https://graphviz.gitlab.io/download/,[accessed 12/07/2018].
[16] Oracle9iAS Personalization. Release Notes, Release 2 (v9.0.2) for UNIX.
[17] Welcome to My Yahoo. [Online] Available: https://my.yahoo.com/?fr=yfp-t-403,[accessed 12/07/2018].
[18] Google. [Online] Available: https://www.google.co.in/,[accessed 12/07/2018].
[19] Movielens. [Online] Available: https://movielens.org/,[accessed 12/07/2018].
[20] Amazon. [Online] Available: http://www.amazon.in/,[accessed 12/07/2018].
[21] eBay. [Online] Available: http://www.ebay.in/ 12/07/2018].
[22] AdpativeInfo.com, [Online] Available: http://www.hugedomains.com/domain_profile.cfm?d=adaptiveinfo&e=com, accessed 12/07/2018].
[23] Lynda. [Online] Available: https://www.lynda.com/,[accessed 12/07/2018].
[24] Creative Bloq. [Online] Available: http://www.creativebloq.com/net-magazine,[accessed 12/07/2018].
[25] Biz Intel. [Online] Available: http://biz-intel-inc.com/,[accessed 12/07/2018].
[26] Webtrends. [Online] Available: http://www.webtrends.com/,[ accessed 12/07/2018].
[27] S. Schechter, M. Krishnan and M. M. Smith, “Using path profiles to predict HTTP requests”, In Proceedings of the 7th International World Wide Web Conference, Brisbane, Australia, April, 1998.