The Data Preprocessing of Behavior Pattern Discovering in Collaboration Environment
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Smart Miner: a new framework for mining large scale web usage data
Proceedings of the 18th international conference on World wide web
Discovering better navigation sequences for the session construction problem
Data & Knowledge Engineering
Preprocessing the web server logs: an illustrative approach for effective usage mining
ACM SIGSOFT Software Engineering Notes
Adapting domain ontology for personalized knowledge search and recommendation
Information and Management
Modeling Data for Enterprise Systems with Memories
Journal of Database Management
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User identification and session identification are two major steps in preprocessing web log data for web usage mining. This paper introduces a fast active user-based user identification algorithm with time complexity O(n). The algorithm uses both an IP address and a finite users' inactive time to identify different users in the web log. Website ontology is useful for identifying website structure and break points for browsing behavior. For session identification, we present an ontology-based method that utilizes the website structure and functionalities to identify different sessions.