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K. Venkat Rao¹,T. Jyothirmayi² and M. V. Basaveswara Rao³
¹Department of Computer Science & Systems Engineering, College of Engineering, Andhra University, Visakhapatnam - 530 003 (India).
²Department of Computer Science, GITAM University, Visakhapatnam - 530 013 (India).
³Sadineni Chowdaraiah College of Atrs and Science, Maddirala, Chilakaluripet - 522 611(India).
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This paper aims at constructing the customer data warehouse which adopts an improved ID3 decision tree algorithm to implement data mining in order to predict the risk class of the customer. The obtained results are compared with experimental results in order to verify the validity and accuracy of the developed model.
KEYWORDS: Decision Tree; ID3; classification; association rules| Copy the following to cite this article: Rao K. V, Jyothirmayi T, Rao M. V. B. Decision Tree Approach for Predicting Customers Credit Risk. Orient. J. Comp. Sci. and Technol;2(1) |
| Copy the following to cite this URL: Rao K. V, Jyothirmayi T, Rao M. V. B. Decision Tree Approach for Predicting Customers Credit Risk. Orient. J. Comp. Sci. and Technol;2(1). Available from: http://www.computerscijournal.org/?p=2119 |
