Consistency-Based Preprocessing for Classification of Data Coming from Evaluation Sheets of Subjects with ASDs
Krzysztof Pancerz, Aneta Derkacz, Jerzy Gomuła
DOI: http://dx.doi.org/10.154392015393
Citation: Position Papers of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 6, pages 63–67 (2015)
Abstract. In general, the aim of our research is to adapt computational intelligence methods for computer-aided decision support in diagnosis and therapy of persons with Autism Spectrum Disorders (ASDs). In the paper, we are focusing on the data preprocessing step for cleaning a training data set for classifiers. An approach based on consistency factors is proposed.