TY - JFULL AU - Vadim Vagin and Marina Fomina and Oleg Morosin PY - 2015/6/ TI - Application of Argumentation for Improving the Classification Accuracy in Inductive Concept Formation T2 - International Journal of Computer and Information Engineering SP - 1287 EP - 1296 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10001506 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 101, 2015 N2 - This paper contains the description of argumentation approach for the problem of inductive concept formation. It is proposed to use argumentation, based on defeasible reasoning with justification degrees, to improve the quality of classification models, obtained by generalization algorithms. The experiment’s results on both clear and noisy data are also presented. ER -