Recovering Individual Accessing Behaviour from Web Logs

In this paper, we present a new view on the data preparation in web usage mining. We concentrate on recovering individual usage behaviour from accessing records on web site. We defined five categories of individual behaviours such as granular accessing behaviour, linear sequential behaviour, tree structure behaviour, acyclic routing behaviour and cyclic routing behaviour. The algorithms for recovering different behaviours were also introduced. And the final experimental studies show that our recovery of individual behaviour is very useful and necessary in web usage mining.

• Type: Conference
• Year: 2005
• Where: SEKE
• Authors: Long Wang 0002, Christoph Meinel
• Keywords: Granular Accessing Behaviour, Individual Usage Behaviour, SEKE 2005, Web Usage Mining