Abstract: This paper presents the initial design and implementation of a Gridbased distributed and parallel data mining system. The Grid system, namely the Business Intelligence Gr...
Software engineering data (such as code bases, execution traces, historical code changes, mailing lists, and bug databases) contains a wealth of information about a project's...
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
In this paper, we introduce an integration study which combines Data Mining (DM) and Agent Based Modeling and Simulation (ABMS). This study, as a new paradigm for DM/ABMS, is conce...
Omar Baqueiro, Yanbo J. Wang, Peter McBurney, Fran...
Data mining is currently becoming an increasingly hot research field, but a large gap still remains between the research of data mining and its application in real-world business....