A New Feature Selection Technique Applied to Credit Scoring Data Using a Rank Aggregation Approach Based on Optimization, Genetic Algorithm, and Similarity
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Mohamed Limam | Waad Bouaguel | Ghazi Bel Mufti | G. B. Mufti | M. Limam | W. Bouaguel | Waad Bouaguel
[1] Huan Liu,et al. Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution , 2003, ICML.
[2] James T. C. Teng,et al. A Dynamic Programming Based Pruning Method for Decision Trees , 2001, INFORMS J. Comput..
[3] George Forman,et al. BNS feature scaling: an improved representation over tf-idf for svm text classification , 2008, CIKM '08.
[4] Charles Elkan,et al. Quadratic Programming Feature Selection , 2010, J. Mach. Learn. Res..
[5] Michael G. Madden,et al. The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data , 2005, Knowl. Based Syst..
[6] Yi Jiang. Credit Scoring Model Based on the Decision Tree and the Simulated Annealing Algorithm , 2009, 2009 WRI World Congress on Computer Science and Information Engineering.
[7] N. Bryson,et al. Modelling pairwise comparisons on ratio scales , 1995 .
[8] J. Fichtner. On deriving priority vectors from matrices of pairwise comparisons , 1986 .
[9] Mohamed Limam,et al. A THREE-STAGE FEATURE SELECTION USING QUADRATIC PROGRAMMING FOR CREDIT SCORING , 2013, Appl. Artif. Intell..
[10] Luis G. Vargas,et al. Comparison of eigenvalue, logarithmic least squares and least squares methods in estimating ratios , 1984 .
[11] Larry A. Rendell,et al. A Practical Approach to Feature Selection , 1992, ML.
[12] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[13] George L. Nemhauser,et al. Models for representing piecewise linear cost functions , 2004, Oper. Res. Lett..
[14] Ben Carterette,et al. On rank correlation and the distance between rankings , 2009, SIGIR.
[15] Sergei Vassilvitskii,et al. Generalized distances between rankings , 2010, WWW '10.
[16] Florin Manea,et al. An efficient approach for the rank aggregation problem , 2006, Theor. Comput. Sci..
[17] J. Ross Quinlan,et al. Simplifying Decision Trees , 1987, Int. J. Man Mach. Stud..
[18] Eng Ung Choo,et al. A common framework for deriving preference values from pairwise comparison matrices , 2004, Comput. Oper. Res..
[19] Kweku-Muata Osei-Bryson,et al. Evaluation of decision trees: a multi-criteria approach , 2004, Comput. Oper. Res..
[20] Stephen C. H. Leung,et al. Vertical bagging decision trees model for credit scoring , 2010, Expert Syst. Appl..
[21] Gary J. Koehler,et al. Theory and practice of decision tree induction , 1995 .
[22] Hussein Almuallim,et al. An Efficient Algorithm for Optimal Pruning of Decision Trees , 1996, Artif. Intell..
[23] Jun Gao,et al. Rank Aggregation Based Text Feature Selection , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.
[24] Ingoo Han,et al. A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction , 2002, Expert Syst. Appl..
[25] Kweku-Muata Osei-Bryson,et al. Generating consensus priority point vectors: a logarithmic goal programming approach , 1999, Comput. Oper. Res..
[26] Noel Bryson,et al. A Goal Programming Method for Generating Priority Vectors , 1995 .
[27] José María Moreno-Jiménez,et al. The geometric consistency index: Approximated thresholds , 2003, Eur. J. Oper. Res..
[28] Eric W. T. Ngai,et al. Selection of web sites for online advertising using the AHP , 2003, Inf. Manag..
[29] José Manuel Benítez,et al. Consistency measures for feature selection , 2008, Journal of Intelligent Information Systems.
[30] R. Hämäläinen,et al. On the measurement of preferences in the analytic hierarchy process , 1997 .
[31] Noel Bryson,et al. Generating consensus priority interval vectors for group decision‐making in the AHP , 2000 .
[32] M. Volk. Estimating Probability of Default and Comparing It to Credit Rating Classification by Banks , 2013 .
[33] Mohamed Limam,et al. Feature Selection by Rank Aggregation and Genetic Algorithms , 2013, KDIR/KMIS.
[34] L. Thomas. Consumer credit models: pricing, profit and portfolios , 2009 .
[35] Yvan Saeys,et al. Robust Feature Selection Using Ensemble Feature Selection Techniques , 2008, ECML/PKDD.
[36] Jonathan Crook,et al. Support vector machines for credit scoring and discovery of significant features , 2009, Expert Syst. Appl..
[37] Giuseppe Carenini,et al. Dealing with the Expert Inconsistency in Probability Elicitation , 2000, IEEE Trans. Knowl. Data Eng..
[38] Bruno Crémilleux,et al. A quality index for decision tree pruning , 2002, Knowl. Based Syst..
[39] David J. Hand,et al. Statistical Classification Methods in Consumer Credit Scoring: a Review , 1997 .
[40] Y. Liu,et al. Data mining feature selection for credit scoring models , 2005, J. Oper. Res. Soc..
[41] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[42] Mohammad Siami,et al. Credit scoring in banks and financial institutions via data mining techniques: A literature review , 2013 .
[43] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[44] Wei-Yin Loh,et al. A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms , 2000, Machine Learning.
[45] Rich Caruana,et al. Benefitting from the Variables that Variable Selection Discards , 2003, J. Mach. Learn. Res..
[46] Taghi M. Khoshgoftaar,et al. Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection , 2013, FLAIRS Conference.
[47] G. Dantzig. ON THE SIGNIFICANCE OF SOLVING LINEAR PROGRAMMING PROBLEMS WITH SOME INTEGER VARIABLES , 1960 .
[48] D. Sculley,et al. Rank Aggregation for Similar Items , 2007, SDM.
[49] Chih-Fong Tsai,et al. Using neural network ensembles for bankruptcy prediction and credit scoring , 2008, Expert Syst. Appl..
[50] Selwyn Piramuthu,et al. On preprocessing data for financial credit risk evaluation , 2006, Expert Syst. Appl..
[51] J. Clegg,et al. A Genetic Algorithm for Solving Combinatorial Problems and the Effects of Experimental Error - Applied to Optimizing Catalytic Materials , 2009 .
[52] Donato Malerba,et al. A Comparative Analysis of Methods for Pruning Decision Trees , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[53] Sven Laur,et al. Robust rank aggregation for gene list integration and meta-analysis , 2012, Bioinform..
[54] W. Bouaguel,et al. A fusion approach based on wrapper and filter feature selection methods using majority vote and feature weighting , 2013, 2013 International Conference on Computer Applications Technology (ICCAT).