Web Mining and Security in E-commerce

  • Shaikh Mohammed Atiq
  • Dayanand Ingle
  • B. B. Meshram
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 176)

Abstract

This paper is based on e-commerce web sites how to use web mining technology for providing security on e-commerce web sites. The connection between web mining ,security and e-commerce analyzed based on user behavior on web. Different web mining algorithms and security algorithm are used to provided security on e-commerce web sites. Based on customer behavior different web mining algorithms like page rank algorithm and trust rank algorithm is used for developing web mining framework in e-commerce web sites. We have developed false hit database algorithm and nearest neighbor algorithm to provide security on e-commerce web site. In existing web mining framework is based on only web content mining, We have proposed Web mining framework system which is based on web structure mining analysis, Web Content Mining analysis, decision analysis and security analysis.

Keywords

Web mining Security E- commerce Web usage mining 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Litecky, C., Aken, A., Ahmad, A., Nelson, H.J.: Southern Illinois University, Carbondale, Mining computing jobs. IEEE Software (January/February 2010)Google Scholar
  2. 2.
    Tao, Y., Yi, K., Sheng, C., Kalnis, P.: Quality and Efficiency in High Dimensional Nearest Neighbor Search. In: SIGMOD (2009)Google Scholar
  3. 3.
    Nasraoui, O., Member, IEEE, Soliman, M., Member, IEEE, Saka, E., Member, IEEE, Badia, A., Member, IEEE, Germain, R.: A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites. IEEE Transactions on Knowledge and Data Engineering 20(2) (February 2008)Google Scholar
  4. 4.
    Liu, B., Grossman, R., Zhai, Y.: University of Illinois at Chicago, Mining Web Pages for Data Records. Published by the IEEE Computer Society (December 2004)Google Scholar
  5. 5.
    Pal, S.K., Fellow, IEEE, Talwar, V., Student Member, IEEE, Mitra, P., Student Member, IEEE: Web Mining in Soft Computing Framework: Relevance, State of the Art and Future Directions. IEEE Transactions on Neural Networks 13(5) (September 2002)Google Scholar
  6. 6.
    Atif, Y.: United Arab Emirates University, Building Trust in E-Commerce. IEEE Internet Computing (January-February 2002)Google Scholar
  7. 7.
    Korn, F., Sidiropoulos, N., Faloutsos, C., Siegel, E., Protopapas, Z.: Fast Nearest Neighbor Search in Medical Image Databases. In: VLDB (1996)Google Scholar
  8. 8.
    Zhang, Q., Segall, R.S.: Web mining: a survey of current research, Techniques and software. The International Journal of Information Technology & Decision Making 7(4), 683–720 (2008)CrossRefGoogle Scholar
  9. 9.
    Yang, Q., Wu, X.: 10 challenging problems in data mining research. Int. J. Inform. Technol. Decision Making 5(4), 597–604 (2006)CrossRefGoogle Scholar
  10. 10.
    Etzioni, O.: The world wield web: Quagmire or Gold Mining. Communicate of the ACM 11(39), 65–68 (1996)CrossRefGoogle Scholar
  11. 11.
    Han, J., Chang, C.: Data mining for web intelligence. Computer, pp. 54–60 (November 2002), http://cs.uiuc.edu/hanj/pdf/computer02.pdf
  12. 12.
    Barsagade, N.: Web usage mining and pattern discovery: A survey paper, Computer Science and Engineering Dept., CSE Tech Report 8331. Southern Method ist University, Dallas (2003)Google Scholar
  13. 13.
    Chau, R., Yeh, C.-H., Smith, K.A.: Personalized Multilingual Web Content Mining. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3213, pp. 155–163. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  14. 14.
    Kolari, P., Joshi, A.: Web mining: Research and practice. Comput. Sci. Eng., 42–53 (July/August 2004)Google Scholar
  15. 15.
    Liu, B., Chang, K.: Editorial: Special issue on web content mining. SIGKDD Explorations 6(2), 1–4 (2004)MATHCrossRefGoogle Scholar
  16. 16.
    Semantic Web Mining: State of the art and future directions Web Semantics: Science, Services and Agents on the World Wide Web 4(2), 124–143 (June 2006)Google Scholar
  17. 17.
    Long, F., Zhang, H., Feng, D.D.: Fundamentals of content \ based imagereal, www.cse.iitd.ernet.in/~pkalra/siv864/Projects/h01_Long_v40
  18. 18.
    Zhang, H., Chen, Z., Li, M., Su, Z.: Relevance feedback and learning in content-based image search. World Wide Web 6(2), 131–155 (2003)CrossRefGoogle Scholar
  19. 19.
    Chen, L., Lian, W., Chue, W.: Using web structure and summarization techniques for web content mining. Inform. Process. Management: Int. J. 41(5), 1225–1242 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Shaikh Mohammed Atiq
    • 1
  • Dayanand Ingle
    • 1
  • B. B. Meshram
    • 2
  1. 1.Bharati Vidyapeeth College of EngineeringNavi MumbaiIndia
  2. 2.Veer Jijamata Technological InstituteMumbaiIndia

Personalised recommendations