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In this paper, a multi-objective approach to address the Full Model Selection (FMS) problem in temporal databases is presented. FMS problem is defined as a multi-objective problem where Cross Validation Error Rate (CVER) and the spent runtime (RT) of each candidate model are considered as objectives to be optimized through the well-known NSGA-II algorithm. The intuitive idea is to select competitive...
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