Interactive search of rules in medical data using multiobjective evolutionary algorithms

Authors:
Daniela Zaharie;Diana Lungeanu;Flavia Zamfirache
Affiliations:
West University of Timisoara, Timisoara, Romania;University of Medicine and Pharmacy, Timisoara, Romania;West University of Timisoara, Timisoara, Romania
Venue:
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Year:
2008

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Abstract

In this work, we propose an approach for evolving rules from medical data based on an interactive multi-criteria evolutionary search: besides selecting the set of criteria and the sets of potential antecedent and consequent attributes, the user can also intervene in the searching process by marking the uninteresting rules. The marked rules are further used in estimating a supplementary optimization criterion which expresses the user's opinion on the rule quality and is taken into account in the evolutionary process.