—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
This work describes how evolutionary computation can be used to synthesize lowlevel image operators that detect interesting points on digital images. Interest point detection is a...
This paper extends a previous model where we examined the markets’ microstructure dynamics by using Genetic Programming as a trading rule inference engine, and Self Organizing Ma...
Michael Kampouridis, Shu-Heng Chen, Edward P. K. T...
Homologydetection in large data bases is probably the most time consuming operation in molecular genetic computing systems. Moreover, the progresses made all around the world conc...