TY - GEN
T1 - A bank customer credit evaluation based on the decision tree and the simulated annealing algorithm
AU - Jiang, Yi
AU - Chen, Yan
AU - Zeng, Zhimin
AU - He, Xiangjian
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=51849130702&partnerID=8YFLogxK
U2 - 10.1109/CIT.2008.4594674
DO - 10.1109/CIT.2008.4594674
M3 - Conference contribution
AN - SCOPUS:51849130702
SN - 9781424423583
T3 - Proceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
SP - 203
EP - 206
BT - Proceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
T2 - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
Y2 - 8 July 2008 through 11 July 2008
ER -