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...
Despite a high level of activity and a large number of researchers involved, current research in data mining is plagued with several serious problems that should be regarded as to...
Clinical practice and research rely increasingly on analytic approaches to patient data. Visualization enables the comparative exploration of similar patients, a key requirement i...
Sonja Zillner, Tamas Hauer, Dmitri Rogulin, Alexey...
Background: Mitochondrial DNA (mtDNA) is widely being used for population genetics, forensic DNA fingerprinting and clinical disease association studies. The recent past has uncov...
Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data, analysis by means of data minin...