A bank customer credit evaluation based on the decision tree and the simulated annealing algorithm

Publication Type:
Conference Proceeding
Citation:
Proceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008, 2008, pp. 203 - 206
Issue Date:
2008-09-22
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2008001715OK.pdf754.26 kB
Adobe PDF
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. © 2008 IEEE.
Please use this identifier to cite or link to this item: