%0 Journal Article
%T Path Breaking Case Studies in E-commerce using Data Mining
%A Rupesh Sanchati
%A P.C. Patidar
%A Gaurav Kulkarni
%J International Journal of Computer Technology and Electronics Engineering
%D 2011
%I National Institute of Science Communication and Information Resources
%X ¡ª The e-commerce domain can provide all the rightingredients for successful data mining and claim that it is a killerdomain for data mining. The architecture of various e-commercesites has supported data collection, transformation, and datamining since its inception. With click-streams being collected atthe application-server layer, high-level events being logged, anddata automatically transformed into a data warehouse usingmeta-data, common problems plaguing data mining usingweblogs (e.g., sessionization and conflating multi-sourced data)are obviated, thus allowing one to concentrate on actual datamining goals. The paper briefly reviews the architecture ofintegrated E-Commerce with Data Mining, discusses some casestudies and puts forward some conclusions inferred from thesame. While the conclusions are drawn from the case studiesfrom the retail e-commerce domain, they are also equallyapplicable to other data mining domains, as well.
%K Web analytics
%K retail e-commerce
%K Simpson¡¯s paradox
%K Timeout Analysis
%K bot analysis.
%U http://www.ijctee.org/files/Issueone/IJCTEE_0811_05.pdf