|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
2009 WRI World Congress on Computer Science and Information Engineering
Credit Scoring Model Based on the Decision Tree and the Simulated Annealing Algorithm
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
| ASCII Text | x | ||
| Yi Jiang, "Credit Scoring Model Based on the Decision Tree and the Simulated Annealing Algorithm," Computer Science and Information Engineering, World Congress on, vol. 4, pp. 18-22, 2009 WRI World Congress on Computer Science and Information Engineering, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSIE.2009.481, author = {Yi Jiang}, title = {Credit Scoring Model Based on the Decision Tree and the Simulated Annealing Algorithm}, journal ={Computer Science and Information Engineering, World Congress on}, volume = {4}, year = {2009}, isbn = {978-0-7695-3507-4}, pages = {18-22}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.481}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Science and Information Engineering, World Congress on TI - Credit Scoring Model Based on the Decision Tree and the Simulated Annealing Algorithm SN - 978-0-7695-3507-4 SP18 EP22 A1 - Yi Jiang, PY - 2009 VL - 4 JA - Computer Science and Information Engineering, World Congress on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.481
Credit scoring models have been widely studied in academic world and the business community. Many novel approaches such as artificial neural networks (ANNs), rough sets, or decision trees have been proposed to increase the accuracy of credit scoring models. the C4.5 is a learning algorithm which adopts local search strategy, it cannot obtain the best decision rules. On the other hand, the simulated annealing algorithm is a global optimized algorithm, it avoids the drawbacks of C4.5. This paper proposes a new credit scoring model based on decision tree and simulated annealing algorithm. The experimental results demonstrate that the proposed model is effective.
Citation:
Yi Jiang, "Credit Scoring Model Based on the Decision Tree and the Simulated Annealing Algorithm," csie, vol. 4, pp.18-22, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.
