Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings. In this paper we present the Prob...
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Detecting and preventing the adversarial action of an agent with respect to the community of agents can be a serious issue in the design of open multi-agent systems. This task is ...
This work addresses conceptual modeling and automatic code generation for Rich Internet Applications, a variant of Web-based systems bridging the gap between desktop and Web inter...
Alessandro Bozzon, Sara Comai, Piero Fraternali, G...
We propose a new functional framework for modeling, querying and reasoning about OLAP databases. The framework represents data (data cubes and dimensional hierarchies) and queryin...