Integrated c fuzzy cluster and Induction rule mining framework For web usage knowledge Discovery process

Abstract

With the increasing popularity of World Wide Web WWW huge newlinesize of data such as user s addresses or URLs which have been demanded are newlinerepeatedly collected by Web servers and collected in access log files newlineInvestigating a server access data can offer considerable and valuable newlineinformation for performance improvement reorganizing a website for newlineimproving efficiency and user intending in electronic commerce newlineDetermining for relationships and universal patterns that survive in huge newlineaccess log files is generally named as Web usage mining newlineWeb usage mining tries to find out helpful knowledge from the newlinesecondary data attained from the communications of the users with the web newlineWeb usage mining has turned into very important for efficient website newlineManagement constructing adaptive websites commerce and support services newlinePersonalization network traffic stream analysis etc Website under research newlineis branch of a non profit association that does not trade any products It was newlinecritical to recognize who the users were what they glanced at and how their newlineinterests varied with time To attain this one of the hopeful techniques is web newlineusage mining which extracts web logs for user models and suggestions newlineThis usage data provides the paths leading to retrieve web pages newlineThis information is often collected automatically into access logs via the Web newlineServer In this area the concerned techniques mostly focus on the customer newlinebehavioral patterns discovery from a web server log file in order to mine newlinerelationships within collected data newline newline