An Elegant Draw Near to Improve the Design of an E-commerce Website Using Web Usage Mining and K-Means Clustering

Web Mining is an enormous field that helps us to understand range of concepts of different fields. Web Usage Mining Techniques are attempted to motive about diverse materialized issues of Business Intelligence which include marketing proficiency as domain knowledge and are specifically designed for electronic commerce purposes. The growing reputation of e-commerce makes data mining requisite technology for several applications, especially online business competitiveness. The World Wide Web provides profuse raw data in the form of web logs. Nowadays many business applications utilizing data mining techniques to pull out useful business information on the web evolved from web searching to web mining. This paper introduces a web usage mining intellectual system to provide nomenclature on user information based on transactional data by applying association and K-means clustering data mining algorithms. KeywordsBusiness Intelligence, CRM, e-Commerce, Web mining, Web usage mining, Web personalization