The web mining is a process which plays a important role in analyzing the web users behaviour. The web usage mining is a part of web mining has a major influence on web personalization. The aim of this study is the taking out necessary information from web access log files and applying data mining technique for analyzing the shopping behaviour of the customers through online.

Data Mining , E-Commerce , WebLog Analysis, Behavioural Patterns

[1]. Analysis of users’ behavior in structured e-commerce websites http://ieeexplore.ieee.org/document/7933069/
[2]. Title-Sequential pattern mining from web log data http://www.ijesat.org/Volumes/2012_Vol_02_Iss_02/IJESAT_2012_02_02_10.pdf .
[3]. Cooley, R., Mobasher, B., and Srivastava, J, “Web mining: information and pattern discovery on the World Wide Web”, International Conference on Tools with Artificial Intelligence, Newport Beach, IEEE,1997, pp. 558-567.
[4]. Robert Cooley, Bamshad Mobasher, and Jaideep Srivastava,” Data preparation for mining World Wide Web browsing patterns”, Journal of Knowledge and Information System,1999,pp. 1-27.
[5]. Etzioni, The world-wide Web: quagmire or gold mine? Communications of the ACM 39 (11) (1996) 65–68.
[6]. Chen Hu, Xuli Zong, Chung-wei Lee and Jyh-haw Yeh, “World Wide Web Usage Mining Systems and Technologies”, Systemic, Cybernetics and Informatics Vol. 1 – Number 4.
[7]. Velayathan, Ganesan; Yamada, Seiji (2006). Behavior based web page evaluation. Proceedings of the 16th international conference on World Wide Web, 1317 – 1318. Retrieved May 13, 2010, from ACM Digital Library,http://www.acm.org/dl.
[8]. Dilip Singh Sisodia and S.Verma “Application of Weblogs to Construct Smart Web servers to handle user Traffic efficiently’ International Journal of Advanced Computer Eng ineering and Architecture (IJACEA).
[9]. J. Nielsen, “ Designing Web usability: the practice of simplicity. Indianapolis “ IN: New Riders Press, 2000
[10]. A. Cooper, “The inmates are running the asylum. Indianapolis”, IN: SAMS, 1999.
[11]. J. Preece, Y. Rogers and H. Sharp, “Interaction design”, New York, NY: John Wiley and Sons, Inc, 2002.
[12]. M. Graff, “Individual differences in hypertext browsing strategies”, Behaviour and Information Technology, Vol. 24, no. 2, 2005.
[13]. P. Pirolli, and S. Card, “Information foraging. Psychological Review”, Vol. 106, no. 4, 1999.
[14]. L.D. Catledge, and J.E. Pitkow, “Characterizing browsing strategies in the World-Wide Web”, Computer Networks and ISDN Systems, Vol. 27, no.6, 1995.
[15]. J. Holsanova, “ Tracking multimodal interaction with new media”, Paper presented at the workshop on The Citizen`s Use and Comprehension of Information on the Internet, Uppsala, 2004..
[16]. M.J. Bates, “The design of browsing and berrypicking techniques for the online search interface”, Online Review, Vol. 13, no. 5, 1989
[17]. T. Bray, C.M. Sperberg-McQueen, “ Extensible markup language (XML) 1.0–W3C recommendation”, Technical Report REC-xml-19980210, World Wide Web Consortium, 1998.
[18]. J.R. Punin, M.S. Krishnamoorthy, M.J. Zaki, “Web usage mining–languages and algorithms”, Technical Report, Rensselaer Polytechnic Institute, 2001.
[19]. R. Gobinath and M. Hemalatha, “Optimized Feature Extraction for Identifying user Behavior in Web Mining ”, European Journal of Scientific Research, Vol. 105, no. 3, 2012.
[20]. R. Gobinath and M. Hemalatha, “Improved Preprocessing Techniques for Analyzing Patterns in Web Personalization Process”, International Journal of Computer Application, Vol. 58, no. 3, 2013.