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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Litecky, C., Aken, A., Ahmad, A., Nelson, H.J.: Southern Illinois University, Carbondale, Mining computing jobs. IEEE Software (January/February 2010)
Tao, Y., Yi, K., Sheng, C., Kalnis, P.: Quality and Efficiency in High Dimensional Nearest Neighbor Search. In: SIGMOD (2009)
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)
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)
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)
Atif, Y.: United Arab Emirates University, Building Trust in E-Commerce. IEEE Internet Computing (January-February 2002)
Korn, F., Sidiropoulos, N., Faloutsos, C., Siegel, E., Protopapas, Z.: Fast Nearest Neighbor Search in Medical Image Databases. In: VLDB (1996)
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)
Yang, Q., Wu, X.: 10 challenging problems in data mining research. Int. J. Inform. Technol. Decision Making 5(4), 597–604 (2006)
Etzioni, O.: The world wield web: Quagmire or Gold Mining. Communicate of the ACM 11(39), 65–68 (1996)
Han, J., Chang, C.: Data mining for web intelligence. Computer, pp. 54–60 (November 2002), http://cs.uiuc.edu/hanj/pdf/computer02.pdf
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)
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)
Kolari, P., Joshi, A.: Web mining: Research and practice. Comput. Sci. Eng., 42–53 (July/August 2004)
Liu, B., Chang, K.: Editorial: Special issue on web content mining. SIGKDD Explorations 6(2), 1–4 (2004)
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)
Long, F., Zhang, H., Feng, D.D.: Fundamentals of content \ based imagereal, www.cse.iitd.ernet.in/~pkalra/siv864/Projects/h01_Long_v40
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Atiq, S.M., Ingle, D., Meshram, B.B. (2012). Web Mining and Security in E-commerce. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31513-8_49
Download citation
DOI: https://doi.org/10.1007/978-3-642-31513-8_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31512-1
Online ISBN: 978-3-642-31513-8
eBook Packages: EngineeringEngineering (R0)