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Authors: Jerzy Michnik 1 ; Anna Michnik 2 and Berenika Pietuch 3

Affiliations: 1 The Karol Adamiecki University of Economics in Katowice, Poland ; 2 University of Silesia, Poland ; 3 ul. Polna 26/32, Poland

Keyword(s): Affinity set, credit score, data mining, logistic regression, rough sets.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: The significant development of credit industry led to growing interest in sophisticated methods which can support making more accurate and more rapid credit decisions. The parametric statistical methods such as linear discriminant analysis and logistic regression were soon followed up by nonparametrical methods and other techniques: neural networks, decision trees, and genetic algorithms. This paper investigates the affinity set – a new concept in data mining field. The affinity set model was applied to credit applications database from Poland. The results are compared to those received by Rosetta (the rough sets and genetic algorithm procedure) and logistic regression.

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Paper citation in several formats:
Michnik, J.; Michnik, A. and Pietuch, B. (2008). CREDIT SCORING MODEL BASED ON THE AFFINITY SET. In Proceedings of the Tenth International Conference on Enterprise Information Systems (ICEIS 2008) - Volume 5: CIAS; ISBN 978-989-8111-39-5; ISSN 2184-4992, SciTePress, pages 287-290. DOI: 10.5220/0001723902870290

@conference{cias08,
author={Jerzy Michnik. and Anna Michnik. and Berenika Pietuch.},
title={CREDIT SCORING MODEL BASED ON THE AFFINITY SET},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems (ICEIS 2008) - Volume 5: CIAS},
year={2008},
pages={287-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001723902870290},
isbn={978-989-8111-39-5},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems (ICEIS 2008) - Volume 5: CIAS
TI - CREDIT SCORING MODEL BASED ON THE AFFINITY SET
SN - 978-989-8111-39-5
IS - 2184-4992
AU - Michnik, J.
AU - Michnik, A.
AU - Pietuch, B.
PY - 2008
SP - 287
EP - 290
DO - 10.5220/0001723902870290
PB - SciTePress

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