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...
: This paper reports an attempt to move computer-based techniques for supporting the analysis of group cognitive processes and decision-making from being specialist applications to...
Inspections provide an effective way of acquiring and reusing experience knowledge. Several details, in both the inspection processes and the inspection event itself, can be found...
In this paper we propose a meta-modeling approach to adaptive knowledge management. It extends previous work by introducing an application-specific layer which allows to specify m...
It has been proven that Artificial Intelligence, in general, and Artificial Neural Networks, in particular, can be successfully applied to problems in the field of Knowledge Manage...