UBB mining: Finding Unexpected Browsing Behaviour in clickstream data to improve a web site's design

I H Ting, C Kimble, D Kudenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper describes a novel web usage mining approach to discover patterns in the navigation of websites known as Unexpected Browsing Behaviours (UBBs). By reviewing these UBBs, a website designer can choose to modify the design of their website or redesign the site completely. UBB mining is based on the Continuous Common Subsequence (CCS), a special instance of Common Subsequence (CS), which is used to define a set of expected routes. The predefined expected routes are then treated as rules and stored in a rule base. By using the predefined route and the UBB mining algorithm, interesting browsing behaviours can be discovered This paper will introduce the formal of the expected route and describe the UBB algorithms. The paper also describes a series of experiments designed to evaluate how well UBB mining algorithms work.

Original languageEnglish
Title of host publication2005 IEEE/WIC/ACM International Conference on Web Intelligence, Proceedings
Place of PublicationLOS ALAMITOS
PublisherIEEE Computer Society
Number of pages7
ISBN (Print)0-7695-2415-X
Publication statusPublished - 2005
EventIEEE/WIC/ACM International Conference on Web Intelligence - Compiegne
Duration: 19 Sept 200522 Sept 2005


ConferenceIEEE/WIC/ACM International Conference on Web Intelligence



Cite this