416 search results - page 34 / 84 » Using Case-Base Data to Learn Adaptation Knowledge for Desig... |
OTM
2005
Springer
14 years 2 months ago
2005
Springer
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
HT
2005
ACM
14 years 2 months ago
2005
ACM
Conversion between different adaptive hypermedia systems has barely been proposed, yet alone tested in realistic settings. This paper presents the evaluation of the interoperabili...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
ECTEL
2006
Springer
14 years 11 days ago
2006
Springer
More and more CoPs have chosen virtual environments and services to support their activities. However, recent research has underlined several problems: the lack of adequate scaffol...
CHI
2011
ACM
13 years 8 days ago
2011
ACM
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...