Integrated Intelligent Research (IIR) 141 Web Usage Mining Using Association Rule Mining on Clustered Data for Pattern Discovery

Abstract — Web Usage Mining is application of data mining techniques to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Analyzing data through web usage mining can help effective Web site management, creating adaptive Web sites, business and support services, personalization, and network traffic flow analysis and so on. Lots of research has been done in this field while this paper emphasizes on finding user pattern in accessing website using web log record. The aim of this paper is to find user access patterns based on help of user’s session and behaviour. Web usage mining includes three phases namely pre-processing, pattern discovery and pattern analysis. In this paper combined effort of clustering and association rule mining is applied for pattern discovery. This approach helps in finding effective usage patterns