DocumentCode
456357
Title
Sequence mining over ARM Hypermedia presentations
Author
Sans, Virginie
Author_Institution
ETIS-CNRS Lab.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
552
Lastpage
557
Abstract
In this paper we present the design and implementation of Visa: a visualization tool for sequence mining over ARM hypermedia presentations. It can synthesize the user clickstream of an ARM hypermedia environment as to get a global view of the displayed documents as well as the displayed relevant media resources in it. Using Visa, user can get a deep understanding of what is of interest, and thus, how to reach more attendance in hypermedia delivery. We introduce in this paper the requirements in ARM context. Our sequence mining technique is based on distance comparison of relational attributed graphs. This graph represents the user navigational path through documents or through resources that are referenced in these documents
Keywords
data mining; data visualisation; hypermedia; sequences; ARM hypermedia presentations; relational attributed graphs; sequence mining; visualization tool; Animation; Data analysis; Data visualization; Displays; Electronic learning; Laboratories; Navigation; Statistics; TV; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location
Damascus
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684430
Filename
1684430
Link To Document