Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
The Tree-of-Hubs Location Problem is studied. This problem, which combines several aspects of some location, network design and routing problems, is inspired by those transportati...
We introduce XPORT, a profile-driven distributed data dissemination system that supports an extensible set of data types, profile types, and optimization metrics. XPORT efficientl...
XPORT is a profile-driven distributed data dissemination system that supports an extensible set of data types, profiles types, and optimization metrics. XPORT efficiently implemen...