Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
In this paper we propose a new query processing method for the OLAP Enabled Grid, which blends sophisticated cache extraction techniques and data grid scheduling to efficiently s...
Michael Lawrence, Frank K. H. A. Dehne, Andrew Rau...
1 Scalable resource monitoring and discovery are essential to the planet-scale infrastructures such as Grids and PlanetLab. This paper proposes a scalable Grid monitoring architect...
Abstract The concept of providing mobile Internet connectivity for passengers in public transport vehicles, where users connect to a local network that attaches to the Internet v...
Muhammad Ali Malik, Lavy Libman, Salil S. Kanhere,...
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...