Drift Detection Algorithm Using the Discriminant Function of the Base Classifiers

Recently, several approaches have been proposed to deal with the concept drift detection. In this paper we propose the new concept drift detection algorithm based on the decision templates. The decision templates are obtained from the outputs of the base classifier that form an ensemble of classifiers. Experiments on several publicly available data sets verify the effectiveness of the proposed algorithm.