Web Mining Techniques in E-Commerce Applications

ABSTRACT Today web is the best medium of communication in modern business. Many companies are redefining their business strategies to improve the business output. Business over internet provides the opportunity to customers and partners where their products and specific business can be found. Nowadays online business breaks the barrier of time and space as compared to the physical office. Big companies around the world are realizing that e-commerce is not just buying and selling over Internet, rather it improves the efficiency to compete with other giants in the market. For this purpose data mining sometimes called as knowledge discovery is used. Web mining is data mining technique that is applied to the WWW. There are vast quantities of information available over the Internet. General Terms Data mining techniques, e-commerce applications and web mining. Keywords Electronic commerce, data mining, web mining.

[1]  Carlo Vercellis,et al.  Business Intelligence: Data Mining and Optimization for Decision Making , 2009 .

[2]  Abdulmotaleb El-Saddik,et al.  A Peer Data Sharing System Combining Schema and Data Level Mappings , 2009, Int. J. Semantic Comput..

[3]  Jiawei Han,et al.  WebML: Querying the World-Wide Web for Resources and Knowledge , 1998, Workshop on Web Information and Data Management.

[4]  Jon Kleinberg,et al.  Authoritative sources in a hyperlinked environment , 1998, SODA '98.

[5]  Andreas Hotho,et al.  Towards Semantic Web Mining , 2002, SEMWEB.

[6]  Margaret H. Dunham,et al.  Data Mining: Introductory and Advanced Topics , 2002 .

[7]  Cyrus Shahabi,et al.  Knowledge discovery from users Web-page navigation , 1997, Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications.

[8]  Michael D. Smith,et al.  Using Path Profiles to Predict HTTP Requests , 1998, Comput. Networks.

[9]  Jiawei Han,et al.  Data Mining: Concepts and Techniques, Second Edition , 2006, The Morgan Kaufmann series in data management systems.

[10]  Jian Pei,et al.  Data Mining: Concepts and Techniques, 3rd edition , 2006 .

[11]  Michael J. A. Berry,et al.  Data mining techniques - for marketing, sales, and customer support , 1997, Wiley computer publishing.

[12]  Nong Ye,et al.  The Handbook of Data Mining , 2003 .

[13]  Mehedi Masud,et al.  Acquaintance Based Consistency in an Instance-Mapped P2P Data Sharing System During Transaction Processing , 2007, OTM Conferences.

[14]  Yanchun Zhang,et al.  Web Mining and Social Networking: Techniques and Applications , 2010 .

[15]  Dirk Van den Poel,et al.  Investigating Purchasing Patterns for Financial Services using Markov , MTD and MTDg Models , 2004 .

[16]  Mehedi Masud,et al.  Update Processing in Instance-Mapped P2P Data Sharing Systems , 2009, Int. J. Cooperative Inf. Syst..

[17]  Dirk Van den Poel,et al.  Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models , 2006, Eur. J. Oper. Res..

[18]  Ramakrishnan Srikant,et al.  Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[19]  Qiang Yang,et al.  Mining web logs for prediction models in WWW caching and prefetching , 2001, KDD '01.

[20]  Josep Lluís de la Rosa i Esteva,et al.  Collaboration Analysis in Recommender Systems Using Social Networks , 2004, CIA.