<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Feature selection is considered a key factor in classifications/decision problems. It is currently used in designing intelligent decision systems to choose the best features which allow the best performance. This paper proposes a regression-based approach to select the most important predictors to significantly increase the classification performance. Application to breast cancer detection and recurrence using publically available datasets proved the efficiency of this technique.</p></abstract>

Feature selection is considered a key factor in classifications/decision problems. It is currently used in designing intelligent decision systems to choose the best features which allow the best performance. This paper proposes a regression-based approach to select the most important predictors to significantly increase the classification performance. Application to breast cancer detection and recurrence using publically available datasets proved the efficiency of this technique.

Regression-Based Approach For Feature Selection In Classification Issues. Application To Breast Cancer Detection And Recurrence

Faculty of Mathematics and Natural Sciences/Department of Computer Science, University of Craiova, Craiova, Romania

Faculty of Mathematics and Informatics/Department of Computer Science, University of Pitesti, Pitesti

Acta Universitatis Cibiniensis. Technical Series

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Feature selection is considered a key factor in classifications/decision problems. It is currently used in designing intelligent decision systems to choose the...

Regression-Based Approach For Feature Selection In Classification Issues. Application To Breast Cancer Detection And Recurrence

Publié en ligne: 23 sept. 2015

Pages: 13 - 18

DOI: https://doi.org/10.1515/aucts-2015-0057

Mots clés
classification, feature selection, regression, neural networks, breast cancer detection and recurrence

© Belciug Smaranda et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Regression-Based Approach For Feature Selection In Classification Issues. Application To Breast Cancer Detection And Recurrence

Publié en ligne: 23 sept. 2015

Pages: 13 - 18

DOI: https://doi.org/10.1515/aucts-2015-0057

Mots clésclassification, feature selection, regression, neural networks, breast cancer detection and recurrence

© Belciug Smaranda et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
classification, feature selection, regression, neural networks, breast cancer detection and recurrence