Comparative Analysis of Random Forest, REP Tree and J48 Classifiers for Credit Risk Prediction

[1]  A. R. Ghatge Ensemble Neural Network Strategy for Predicting Credit Default Evaluation , 2013 .

[2]  David Lando,et al.  Credit Risk Modeling , 2009 .

[3]  Kin Keung Lai,et al.  Credit risk assessment with a multistage neural network ensemble learning approach , 2008, Expert Syst. Appl..

[4]  A. Nadali,et al.  A Hybrid Method for Credit Risk Assessment of Bank Customers , 2011 .

[5]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[6]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[7]  Competency Assessment between JRip and Partial Decision Tree Classifiers for Credit Risk Estimation , 2014 .

[8]  C. Lakshmi Devasena,et al.  Adeptness Evaluation of Memory Based Classifiers for Credit Risk Analysis , 2014, 2014 International Conference on Intelligent Computing Applications.

[9]  Chih-Chou Chiu,et al.  Credit scoring using the hybrid neural discriminant technique , 2002, Expert Syst. Appl..

[10]  Andrea Roli,et al.  A neural network approach for credit risk evaluation , 2008 .

[11]  J. Ross Quinlan,et al.  Simplifying Decision Trees , 1987, Int. J. Man Mach. Stud..

[12]  Effectiveness Assessment between Sequential Minimal Optimization and Logistic Classifiers for Credit Risk Prediction , 2014 .

[14]  Soushan Wu,et al.  Credit rating analysis with support vector machines and neural networks: a market comparative study , 2004, Decis. Support Syst..

[15]  Vincenzo Pacelli,et al.  An Artificial Neural Network Approach for Credit Risk Management , 2011, J. Intell. Learn. Syst. Appl..

[16]  Kin Keung Lai,et al.  Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model , 2006, ICANN.

[17]  Ian H. Witten,et al.  Data mining - practical machine learning tools and techniques, Second Edition , 2005, The Morgan Kaufmann series in data management systems.

[18]  Sotiris B. Kotsiantis Credit risk analysis using a hybrid data mining model , 2007, Int. J. Intell. Syst. Technol. Appl..

[19]  S. Sasikala,et al.  REPTREE CLASSIFIER FOR IDENTIFYING LINK SPAM IN WEB SEARCH ENGINES , 2013, SOCO 2013.

[20]  C. Lakshmi Devasena,et al.  Adeptness Comparison between Instance Basedand K Star Classifiers for Credit Risk Scrutiny , 2014 .

[21]  Margaret H. Dunham,et al.  Data Mining: Introductory and Advanced Topics , 2002 .