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Reseach Article

Article:Improving Effectiveness of Online Teaching (An Application of Web Usage Mining)

by Sartaj Ahmad, M.Z. Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 13
Year of Publication: 2010
Authors: Sartaj Ahmad, M.Z. Khan
10.5120/1307-1677

Sartaj Ahmad, M.Z. Khan . Article:Improving Effectiveness of Online Teaching (An Application of Web Usage Mining). International Journal of Computer Applications. 8, 13 ( October 2010), 21-24. DOI=10.5120/1307-1677

@article{ 10.5120/1307-1677,
author = { Sartaj Ahmad, M.Z. Khan },
title = { Article:Improving Effectiveness of Online Teaching (An Application of Web Usage Mining) },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 8 },
number = { 13 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 21-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number13/1307-1677/ },
doi = { 10.5120/1307-1677 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:57:17.240764+05:30
%A Sartaj Ahmad
%A M.Z. Khan
%T Article:Improving Effectiveness of Online Teaching (An Application of Web Usage Mining)
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 13
%P 21-24
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

WWW is one of the most valuable resources of information retrievals and knowledge discoveries and it supports Online teaching learning process. We can use this resource to upload information about particular subject (under course) and can find popularity of such information. We can extract knowledge from this resource by many mining techniques to improve the performance of this information. In this paper we are providing an introduction of web mining and review of web mining categories. Then we are focusing on one of these categories the web usage mining. After this we are showing how this category can be used to raise the performance of our information.

References
  1. Raymond Kosala, Hendrik Blockeel, Web Mining Research: A Survey, ACM SIGKDD Explorations Newsletter, June 2000, Volume 2 Issue 1.
  2. O. Etzioni. The world wide web: Quagmire or gold mine. Communications of the ACM, 39(11):65-68, 1996.
  3. Jidong Wang, Zheng Chen, Li Tao, Wei-Ying Ma, Liu Wenyin, Ranking User’s Relevance to a Topic through Link Analysis on Web Logs, WIDM’ 02, November 2002.
  4. 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, January 2000, Volume 1 Issue
  5. G. Piatetsky-Shapiro, and W.J. Frawley, Knowledge Discovery in Databases. AAAI/MIT Press, 1991.
  6. A. A. Barfourosh, H.R. Motahary Nezhad, M. L. Anderson, D. Perlis, Information Retrieval on the World Wide Web and Active Logic: A Survey and Problem Definition, 2002.
  7. L. Getoor, Link Mining: A New Data Mining Challenge. SIGKDDExplorations, vol. 4, issue 2, 2003.
  8. Q. Lu, and L. Getoor. Link-based classification. In Proceedings of ICML-03, 2003.
  9. L. Page, S. Brin, R. Motwani, and T. Winograd. The Pagerank citation ranking: Bring order to the web. Technical report, Stanford University, 1998.
  10. S. Chakrabarti, B. E. Dom, D, Gibson, J. Kleinberg, R. Kumar, P.Raghavan, S. Rajagopalan, and A. Tomkins. Mining the Link Structure of the World Wide Web. February, 1999.
  11. Wang Jicheng, Huang Yuan, Wu Gangshan, Zhang Fuyan. Web mining: knowledge discovery on the Web. Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE international Conference - on Volume 2, Page(s):137 - 141 vol.2 - 12-15 Oct. 1999
  12. Han, J., Kamber, M. Kamber. Data mining: concepts and techniques. Morgan Kaufmann Publishers, 2000.
  13. Kleinberg, J.M., Authoritative sources in a hyperlinked environment. In Proceedings of ACM-SIAM Symposium on Discrete Algorithms, 1998, pages 668-677 – 1998.
  14. Cooley, R.; Mobasher, B.; Srivastava, J.; Web mining: information and pattern discovery on the World Wide Web. Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference. Page(s):558 – 567 - 3-8 Nov. 1997.
  15. Bianchini, M.; Gori, M.; Scarselli, F.; Inside PageRank. ACM Transaction on Internet Technology (TOIT), Volume 5 Issue 1 – February, 2005.
  16. Brin, S.; Page,L. The Anatomy of a Large-scale Hypertextual Web Search Engine. Proceedings of the Seventh International World Wide Web Conference, 1998.
  17. http://www.google.com/. Last accessed 05/04/2010.
  18. http://www.Jazan.edu.sa Last accessed 06/04/2010.
Index Terms

Computer Science
Information Sciences

Keywords

WWW Online teaching Online learning web mining web usage mining