Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Distributed applications involving mobile devices interconnected by wireless networks may benefit both from multiagent technology and context-aware programming techniques. This ar...
We present a novel architecture of a communication engine for non-coherent distributed shared memory systems. The shared memory is composed by a set of nodes exporting their memory...
The join is the most important, but also the most time consuming operation in relational database systems. We implemented the parallel Hybrid Hash Join algorithm on a PC-cluster a...