doi: 10.7763/IJIET.2011.V1.25
A New Approach for Labeling the Class of Bank Credit Customers via Classification Method in Data Mining
Hamid Eslami Nosratabadi*
,
Sanaz Pourdarab ,
Ahmad Nadali
Abstract
ONE of the most important parts in credit scoring is determining the class of customers to run the Data Mining algorithms. The purpose of this research is estimating the Label of Credit customers via Fuzzy Expert System. Here the class of customers has been specified by a Fuzzy Expert System and then the Data Mining Algorithms have been run on the final data with Clementine software. The presented steps have been studied in an Iranian Bank as empirical study.
Keywords
- Data Mining
- Fuzzy Expert System
- Credit Scoring
- Labeling
- Clementine
How to Cite
Hamid Eslami Nosratabadi, Sanaz Pourdarab, and Ahmad Nadali, "A New Approach for Labeling the Class of Bank Credit Customers via Classification Method in Data Mining," International Journal of Information and Education Technology, vol. 1, no. 2, pp. 150-155, 2011. https://doi.org/10.7763/IJIET.2011.V1.25
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).