A Bank Customers Credit Evaluation Based on the Decision Tree and the Simulated Annealing Algorithm

IEEE Computer Society
Publication Type:
Conference Proceeding
8th IEEE International Conference on Computer and Information Technology (CIT2008), 2008, pp. 203 - 206
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C4.5 is a learning algorithm that adopts local search strategy, and it cannot obtain the best decision rules. On the other hand, the simulated annealing algorithm is a globally optimized algorithm and it avoids the drawbacks of C4.5. This paper proposes a new credit evaluation method based on decision tree and simulated annealing algorithm. The experimental results demonstrate that the proposed method is effective.
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