Soft computing paradigms for web access pattern analysis

Abstract

Web servers play a crucial role to convey knowledge and information to the end users. With the popularity of the WWW, discovering the hidden information about the users and usage or access pattern is critical to determine effective marketing strategies and to optimize the server usage or to accommodate future growth. Many of the currently available or conventional server analysis tools could provide only explicit statistical data without much useful knowledge and hidden information. Therefore, mining useful information becomes a challenging task when the Web traffic volume is enormous and keeps on growing. In this paper, we propose Soft Computing Paradigms (SCPs) to discover Web access or us..