Automatic support vector data description

This work proposes automatic support vector data description (ASVDD) based on both validation degree, which is originated from fuzzy rough set to discover data characteristic, and assigning effective values for tuning parameters by chaotic bat algorithm, and demonstrates superiority of the proposed method over state-of-the-art ones in terms of classification accuracy and AUC.