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 :
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