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Reseach Article

Web Data Mining through Software Agents

by Shakti Kundu, M. L. Garg
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 5
Year of Publication: 2017
Authors: Shakti Kundu, M. L. Garg
10.5120/ijca2017914142

Shakti Kundu, M. L. Garg . Web Data Mining through Software Agents. International Journal of Computer Applications. 166, 5 ( May 2017), 44-48. DOI=10.5120/ijca2017914142

@article{ 10.5120/ijca2017914142,
author = { Shakti Kundu, M. L. Garg },
title = { Web Data Mining through Software Agents },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 5 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number5/27669-2017914142/ },
doi = { 10.5120/ijca2017914142 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:12:56.216013+05:30
%A Shakti Kundu
%A M. L. Garg
%T Web Data Mining through Software Agents
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 5
%P 44-48
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web data mining research efforts lead to user or group of user’s satisfaction by providing accurate and relevant information retrieval; by learning about user’s demands so that services can target specific groups or even individual users and by providing personalized service. Due to the explosive growth of web content in the internet world in the past few years, there is tremendous requirement and scope of doing research in the category of e-commerce agents. Also user requirements such as getting accurate information in a prompt manner are not getting fulfilled as per their expectations. This has motivated the researcher to pursue his research in the field of web data mining through software agents. This paper has highlighted the implementations of software agents for e-commerce applications.

References
  1. Cen Q., Zhao J., Zhu X., “The data mining system based on multi-agent under the circumstances of e-commerce”, Proceedings of 3rd International Conference on Natural Computing (ICNC 2007) IEEE, Vol. 7, pp. 34-38, 24-27 August, 2007.
  2. Tang Q., Xie F., “Agent based negotiation model for e-commerce”, Wireless Communications, Networking and Mobile Computing, Proceedings of WiCom 2007, International Conference, pp. 3466-3469, 21-25 September 2007.
  3. “The IBM Agent”, Available at: http://www-03.ibm.com/systems/director/downloads/agents.html. Accessed 09-October-2016.
  4. Brown C. M., Danzig B. B., Hardy D., Manber U., Schwartz M. F., “The harvest information discovery and access system”, Proceedings of 2nd International World Wide Web Conference, Chicago, 1994.
  5. Hammond K., Burke R., Martin C., Lytinen S., “FAQ-Finder: A case based approach to knowledge navigation”, Proceedings of 11th Conference on Artificial Intelligence for Applications, IEEE Xplore, pp.80-86, 20-23 Feb, 1995.
  6. Kirk T., Levy A. Y., Sagiv Y., Srivastava D., “The information manifold”, Proceedings of the AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments, pp.85-91, 1995.
  7. Malinowski, Wilamowski B. M., "Compiling computer programs through internet", Proceedings of International Conference on Information Technology Based Higher Education and Training, ITHET-2000, Istanbul, Turkey, pp. 343-348, July 3-5, 2000.
  8. Doorenbos R. B., Etzioni O., Weild D. S., “A scalable comparison shopping agent for the world wide web”, Available at: Technical Report 96-01-03, University of Washington, Deptt. of Computer Science and Engineering, 1996.
  9. Broder A. Z., Glassman S. C., Manasse M. S., Zweig G., “Syntactic clustering of the web”, Proceedings of 6th International World Wide Web Conference, pp. 1157-1166, 1997.
  10. Chang C., Hsu C., “Customizable multi-engine search tool with clustering”, Proceedings of 6th International World Wide Web Conference, 1997.
  11. Wulfekuhler M. R., Punch W. F., “Finding salient features for personal web page categorization”, Proceedings of 6th International World Wide Web Conference, 1997.
  12. Chajri M., Fakir M., “Application of data mining in e-commerce”, Journal of Information Technology Research, IGI Publications, US, Vol. 7(4), pp. 79-91, 2014.
  13. Qingtian H., Xioayan G., Wenguo W., “Study on web mining algorithm based on usage mining”, Proceedings of 9th International Conference on Computer Aided Industrial Design and Conceptual Design, IEEE Xplore, pp. 1121-1124, 22-25 November, 2008.
  14. Tang Y., Liu X., Huang Y., Lu G., “The design of data mining system”, Theory and application of System Project, pp. 56-63, September 2000.
  15. Wang T. H., Guan S. U., Ong S.H., “Migration control for mobile agents based on passport and visa”, Proceedings of Future Generation Computer Systems, Vol. 19, pp. 173-186, 2003.
  16. Cooley R., Mobasher B., Srivastava J., “Web mining: Information and pattern discovery on the world wide web”, Proceedings of 9th International Conference on Tools with Artificial Intelligence, IEEE Xplore, pp. 558-567, 3-8 November, 1997.
  17. Neli S., Govindasamy K., Wilamowski B. M., Malinowski A., “Automated data mining from web servers using perl script”, Proceedings of 12th International Conference on Intelligent Engineering Systems, Miami, Florida, pp. 191-196, February 25-29, 2008.
  18. Chen L., Sycara K., “WebMate : A personal agent for browsing and searching”, Proceedings of the second International Conference on Autonomous Agents, pp. 132-139, 1998.
  19. Armstrong R., Freitag D., Joachims T., Mitchell T., “WebWatcher: A learning apprentice for the world wide web”, AAAI Spring Symposium on Information Gathering, Stanford, CA, March, 1995.  Available at: http://www.cs.cmu.edu/afs/cs/project/theo-6/web-agent/www/project-home.html
  20. Liberman H., Letizia, “An agent that assists web browsing”, Proceedings of the 14th International Joint Conference on Artificial intelligence, Vol. 1, pp. 924-929, 1995.
  21. Liberman H., “Autonomous interface agents”, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, pp. 67-74, 1997.
  22. Liberman H., Fry C., Weitzman L., “Exploring the web with reconnaissance agents”, Communication of the ACM, Vol. 44(8), pp. 69-75, August, 2001.
  23. Cooley R., Tan P., Srivastava J., “Discovery of interesting usage patterns from web data”, Proceedings of WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling, pp.163-182, 1999.
  24. Top 10 Web Log Analyzers, Available at: http://www.valencynetworks.com/articles/top-10-web-log-analyzers.html. Accessed 19-November-2016.
  25. Tang Q., Xie F., “Agent based negotiation model for e-commerce”, Proceedings of International Conference of Wireless Communications, Networking and Mobile Computing, pp. 3466-3469, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Agents Negotiation Software System Web.