Title :
Improved Web Mining for E-commerce Website Restructuring
Author :
Verma, Neha ; Singh, Jatinder
Author_Institution :
Dept. of Comput. Sci. & Eng., Punjab Tech. Univ., Jallandhar, India
Abstract :
In a short span of time, less than 10 years, E-Commerce industry has observed a magnificent growth in some of the developed countries. However E-Commerce industry in developing countries like India is still lagging behind to satisfy the challenging and dynamic needs of consumers. E-Commerce websites are considered as face or representatives of their respective companies. A well designed website is considered as successful website. It is designed in such a way so that it can satisfy user needs. Hence to have an optimized, updated and structured website is the ultimate goal for all E-Commerce organizations now days. In this regard we are going to discuss improved mining strategies which are required to maintain optimized website structure which in turn is helpful for businesses to increase their revenues, to keep check on competitor´s websites, comparison of various brands, attracting new customers and to retain the old customers.
Keywords :
Web sites; customer satisfaction; data mining; electronic commerce; E-Commerce Website restructuring; E-Commerce industry; E-Commerce organizations; India; Web mining strategy; brand comparison; competitor Web sites; customer attraction; customer retention; developed countries; developing countries; optimized Website structure; Algorithm design and analysis; Business; Knowledge engineering; Navigation; Web mining; Web pages; E-Commerce and Mining; Improved mining; Web Mining; Website Reorganization; Website Restructuring;
Conference_Titel :
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4799-6022-4
DOI :
10.1109/CICT.2015.76