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Lecture Notes in Computer Science
Feature selection is a process of selecting a subset of relevant features from a large number of original features to achieve similar or better classification performance and improve the computation efficiency. As an important data preprocessing technique, research into feature selection has been carried out over the past four decades. Determining an optimal feature subset is a complicated problem. Due to the limitations of conventional methods, evolutionary computation (EC) has been proposeddoi:10.1007/978-3-319-13563-2_51 fatcat:ju3w5orwmng5vppfoxhhpkdmoa