%0 Conference Proceedings
%T Ensemble Classifier for Solving Credit Scoring Problems
%+ Wroclaw University of Science and Technology
%A Zięba, Maciej
%A Świątek, Jerzy
%Z Part 3: Service Orientation
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
%C Costa de Caparica, Portugal
%Y Luis M. Camarinha-Matos
%Y Ehsan Shahamatnia
%Y Gonçalo Nunes
%I Springer
%3 Technological Innovation for Value Creation
%V AICT-372
%P 59-66
%8 2012-02-27
%D 2012
%R 10.1007/978-3-642-28255-3_7
%K credit scoring
%K ensemble classifier
%K imbalanced data
%K cost-sensitive learning
%Z Computer Science [cs]Conference papers
%X The goal of this paper is to propose an ensemble classification method for the credit assignment problem. The idea of the proposed method is based on switching class labels techniques. An application of such techniques allows solving two typical data mining problems: a predicament of imbalanced dataset, and an issue of asymmetric cost matrix. The performance of the proposed solution is evaluated on German Credits dataset.
%G English
%Z TC 5
%Z WG 5.5
%2 https://inria.hal.science/hal-01365567/document
%2 https://inria.hal.science/hal-01365567/file/978-3-642-28255-3_7_Chapter.pdf
%L hal-01365567
%U https://inria.hal.science/hal-01365567
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-WG5-5
%~ IFIP-DOCEIS
%~ IFIP-AICT-372