Title :
A bank customer credit evaluation based on the decision tree and the simulated annealing algorithm
Author :
Jiang, Yi ; Chen, Yan ; Zeng, Zhimin ; He, Xiangjian
Author_Institution :
Dept. of Comput. Sci., Xiamen Univ., Xiamen
Abstract :
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.
Keywords :
bank data processing; credit transactions; decision trees; learning (artificial intelligence); simulated annealing; bank customer credit evaluation; decision tree; learning; local search strategy; simulated annealing; Business; Computational modeling; Computer science; Computer simulation; Decision making; Decision trees; Information technology; Machine learning; Machine learning algorithms; Simulated annealing;
Conference_Titel :
Computer and Information Technology, 2008. CIT 2008. 8th IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-2357-6
Electronic_ISBN :
978-1-4244-2358-3
DOI :
10.1109/CIT.2008.4594674
