Investigating Significant Changes in Users' Interest on Web Traversal Patterns

Thilagu M, Nadarajan R
2013 International Journal on Cybernetics & Informatics  
In recent times, web usage mining has become a promising solution for discovering interesting patterns from web data. The discovered knowledge is useful for web developers or designers to understand users' navigation behaviour and help in improving website design, performance and e-business strategies. Still, analyzing the dynamic behaviour of users' interest on web traversal patterns from the underlying web usage data is an important task in order to analyze the significant changes in users'
more » ... cess to web pages and time spent on them. In this paper, an investigation on users' access behaviour of web traversal patterns in terms of support and utility is done and discussed. Algorithms have been proposed to discover significant web traversal patterns based on support and utility constraints in Phase-I. And, the proposed algorithms apply transitional pattern mining models to detect significant milestones or time points at which users' interest on the discovered patterns increases or decreases dramatically, in Phase-II. The information obtained from the proposed algorithms helps in understanding users' dynamic preferences of web traversal patterns. Experimental studies are done on a real dataset and the results are discussed.
doi:10.5121/ijci.2013.2405 fatcat:p5tngidmtrgzfkonfkgiltchzq