NDLI: UBB mining: finding unexpected browsing behaviour in clickstream data to improve a Web site's design

Content Provider	IEEE Xplore Digital Library
Author	I-Hsien Ting Kimble, C. Kudenko, D.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., York Univ., UK (I-Hsien Ting; Kimble, C.; Kudenko, D.)
Abstract	This paper describes a novel Web usage mining approach to discover patterns in the navigation of Web sites known as unexpected browsing behaviours (UBBs). By reviewing these UBBs, a Web site designer can choose to modify the design of their Web site 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 introduces the format of the expected route and describes the UBB algorithms. The paper also describes a series of experiments designed to evaluate how well UBB mining algorithms work.
Sponsorship	IEEE Comput. Soc. Web Intelligence Consortium (WIC) Assoc. for Comput. Machinery (ACM)
Starting Page	179
Ending Page	185
File Size	149256
Page Count	7
File Format	PDF
ISBN	076952415X
DOI	10.1109/WI.2005.153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-19
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Algorithm design and analysis Web page design Web design Navigation Sections Carbon capture and storage Data mining
Content Type	Text
Resource Type	Article

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