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

I H Ting; C Kimble; D Kudenko

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

I H Ting, C Kimble, D Kudenko

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 language	English
Title of host publication	2005 IEEE/WIC/ACM International Conference on Web Intelligence, Proceedings
Place of Publication	LOS ALAMITOS
Publisher	IEEE Computer Society
Pages	179-185
Number of pages	7
ISBN (Print)	0-7695-2415-X
Publication status	Published - 2005
Event	IEEE/WIC/ACM International Conference on Web Intelligence - Compiegne Duration: 19 Sept 2005 → 22 Sept 2005

Conference

Conference	IEEE/WIC/ACM International Conference on Web Intelligence
City	Compiegne
Period	19/09/05 → 22/09/05

Keywords

USER NAVIGATION
PATTERNS
DISCOVERY

Cite this

@inproceedings{6ea447d2a2d94ef987d535ba55205a12,

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

abstract = "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.",

keywords = "USER NAVIGATION, PATTERNS, DISCOVERY",

author = "Ting, {I H} and C Kimble and D Kudenko",

year = "2005",

language = "English",

isbn = "0-7695-2415-X",

pages = "179--185",

booktitle = "2005 IEEE/WIC/ACM International Conference on Web Intelligence, Proceedings",

publisher = "IEEE Computer Society",

address = "United States",

note = "IEEE/WIC/ACM International Conference on Web Intelligence ; Conference date: 19-09-2005 Through 22-09-2005",

}

TY - GEN

T1 - UBB mining: Finding Unexpected Browsing Behaviour in clickstream data to improve a web site's design

AU - Ting, I H

AU - Kimble, C

AU - Kudenko, D

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - USER NAVIGATION

KW - PATTERNS

KW - DISCOVERY

M3 - Conference contribution

SN - 0-7695-2415-X

SP - 179

EP - 185

BT - 2005 IEEE/WIC/ACM International Conference on Web Intelligence, Proceedings

PB - IEEE Computer Society

CY - LOS ALAMITOS

T2 - IEEE/WIC/ACM International Conference on Web Intelligence

Y2 - 19 September 2005 through 22 September 2005

ER -