A Study of the Integration of Individual Classification Model in Data Mining for the Credit Evaluation


The KIPS Transactions:PartD, Vol. 12, No. 2, pp. 211-218, Apr. 2005
10.3745/KIPSTD.2005.12.2.211,   PDF Download:

Abstract

This study presents an integrated data mining model for the credit evaluation of the customers of a capital company. Based on customer information and financing processes in capital market, we derived individual models from multi-layered perceptrons(MLP), multivariate discrimination analysis(MDA), and decision tree. Further, the results from the existing models were compared with the results from the integrated model using genetic algorithm. The integrated model presented by this study turned out to be superior to the existing models. This study contributes not only to verifying the existing individual models but also to overcoming the limitations of the existing approaches.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
K. S. Kim, "A Study of the Integration of Individual Classification Model in Data Mining for the Credit Evaluation," The KIPS Transactions:PartD, vol. 12, no. 2, pp. 211-218, 2005. DOI: 10.3745/KIPSTD.2005.12.2.211.

[ACM Style]
Kap Sik Kim. 2005. A Study of the Integration of Individual Classification Model in Data Mining for the Credit Evaluation. The KIPS Transactions:PartD, 12, 2, (2005), 211-218. DOI: 10.3745/KIPSTD.2005.12.2.211.