Abstract
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multi-modal optimization is proposed to formalize these data mining problems, and addressed through Evolutionary Computation (EC). The merits of EC for spatio-temporal data mining are demonstrated as the approach facilitates the modelling of the experts' requirements, and flexibly accommodates their changing goals. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Krmicek, V., & Sebag, M. (2006). Functional brain imaging with multi-objective multi-modal evolutionary optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4193 LNCS, pp. 382–391). Springer Verlag. https://doi.org/10.1007/11844297_39
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