-
1
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Mach. Learn. 1996, 24(2):123-140.
-
(1996)
Mach. Learn.
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
2
-
-
80255133264
-
An experimental comparison of classification algorithms for imbalanced credit scoring data sets
-
Brown I., Mues Ch. An experimental comparison of classification algorithms for imbalanced credit scoring data sets. Expert Syst. Appl. 2012, 39(3):3446-3453.
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.3
, pp. 3446-3453
-
-
Brown, I.1
Mues, C.2
-
3
-
-
77950189091
-
Combination of feature selection approaches with SVM in credit scoring
-
Chen F.L., Li F.Ch. Combination of feature selection approaches with SVM in credit scoring. Expert Syst. Appl. 2010, 37:4902-4909.
-
(2010)
Expert Syst. Appl.
, vol.37
, pp. 4902-4909
-
-
Chen, F.L.1
Li, F.2
-
4
-
-
84155195224
-
Classifying credit ratings for Asian banks using integrating feature selection and the CPDA-based rough sets approach
-
Chen Y.Sh Classifying credit ratings for Asian banks using integrating feature selection and the CPDA-based rough sets approach. Knowl.-Based Syst. 2012, 26:259-270.
-
(2012)
Knowl.-Based Syst.
, vol.26
, pp. 259-270
-
-
Chen, Y.S.1
-
5
-
-
84919935619
-
Selection of support vector machines based classifiers for credit risk domain
-
Danenas P., Garsva G. Selection of support vector machines based classifiers for credit risk domain. Expert Syst. Appl. 2015, 42:3194-3204.
-
(2015)
Expert Syst. Appl.
, vol.42
, pp. 3194-3204
-
-
Danenas, P.1
Garsva, G.2
-
6
-
-
0002978642
-
-
In: Proceedings of the 13th International Conference on Machine Learning, Bari, Italy
-
Freund, Y., Schapire, R.E., 1996. Experiments with a new boosting algorithm. In: Proceedings of the 13th International Conference on Machine Learning, Bari, Italy, pp. 148-156.
-
(1996)
Experiments with a new boosting algorithm
, pp. 148-156
-
-
Freund, Y.1
Schapire, R.E.2
-
7
-
-
35548967562
-
Classification tree analysis using TARGET
-
Gray J.B., Fan G. Classification tree analysis using TARGET. Comput. Stat. Data Anal. 2008, 52(3):1362-1372.
-
(2008)
Comput. Stat. Data Anal.
, vol.52
, Issue.3
, pp. 1362-1372
-
-
Gray, J.B.1
Fan, G.2
-
8
-
-
84883050191
-
Feature selection in corporate credit rating prediction
-
Hajek P., Michalak K. Feature selection in corporate credit rating prediction. Knowl.-Based Syst. 2013, 51:72-84.
-
(2013)
Knowl.-Based Syst.
, vol.51
, pp. 72-84
-
-
Hajek, P.1
Michalak, K.2
-
9
-
-
70349580621
-
A data driven ensemble classifier for credit scoring analysis
-
Hsieh N.C., Hung L.P. A data driven ensemble classifier for credit scoring analysis. Expert Syst. Appl. 2010, 37(1):534-545.
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.1
, pp. 534-545
-
-
Hsieh, N.C.1
Hung, L.P.2
-
10
-
-
34447124447
-
Measuring retail company performance using credit scoring techniques
-
Hu Y.C., Ansell J. Measuring retail company performance using credit scoring techniques. Eur. J. Oper. Res. 2007, 183(3):1595-1606.
-
(2007)
Eur. J. Oper. Res.
, vol.183
, Issue.3
, pp. 1595-1606
-
-
Hu, Y.C.1
Ansell, J.2
-
11
-
-
84867875616
-
A bayesian latent variable model with classification and regression tree approach for behavior and credit scoring
-
Kao L.J., Chiu C.C., Chiu F.Y. A bayesian latent variable model with classification and regression tree approach for behavior and credit scoring. Knowl.-Based Syst. 2012, 36:245-252.
-
(2012)
Knowl.-Based Syst.
, vol.36
, pp. 245-252
-
-
Kao, L.J.1
Chiu, C.C.2
Chiu, F.Y.3
-
13
-
-
84922766449
-
The effect of feature selection on financial distress prediction
-
Liang D., Tsai Ch.F., Wu H.T. The effect of feature selection on financial distress prediction. Knowl.-Based Syst. 2015, 73:289-297.
-
(2015)
Knowl.-Based Syst.
, vol.73
, pp. 289-297
-
-
Liang, D.1
Tsai, C.F.2
Wu, H.T.3
-
14
-
-
84859423392
-
Exploring the behaviour of base classifiers in credit scoring ensembles
-
Marques A.I., Garcia V., Sanchez J.S. Exploring the behaviour of base classifiers in credit scoring ensembles. Expert Syst. Appl. 2012, 39(11):10244-10250.
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.11
, pp. 10244-10250
-
-
Marques, A.I.1
Garcia, V.2
Sanchez, J.S.3
-
15
-
-
48749131225
-
A practical approach to credit scoring
-
Min J.H., Lee Y.C. A practical approach to credit scoring. Expert Syst. Appl. 2008, 35(4):1762-1770.
-
(2008)
Expert Syst. Appl.
, vol.35
, Issue.4
, pp. 1762-1770
-
-
Min, J.H.1
Lee, Y.C.2
-
16
-
-
56349112745
-
An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring
-
Nanni L., Lumini A. An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring. Expert Syst. Appl. 2009, 36(2):3028-3033.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 3028-3033
-
-
Nanni, L.1
Lumini, A.2
-
17
-
-
16244405300
-
Building credit scoring models using genetic programming
-
Ong C.S., Huang J.J., Tzeng G.H. Building credit scoring models using genetic programming. Expert Syst. Appl. 2005, 29(1):41-47.
-
(2005)
Expert Syst. Appl.
, vol.29
, Issue.1
, pp. 41-47
-
-
Ong, C.S.1
Huang, J.J.2
Tzeng, G.H.3
-
18
-
-
84888315345
-
Genetic algorithm-based heuristic for feature selection in credit risk assessment
-
Oreski S., Oreski G. Genetic algorithm-based heuristic for feature selection in credit risk assessment. Expert Syst. Appl. 2014, 41:2052-2064.
-
(2014)
Expert Syst. Appl.
, vol.41
, pp. 2052-2064
-
-
Oreski, S.1
Oreski, G.2
-
20
-
-
79955599524
-
Neighborhood rough set and SVM based hybrid credit scoring classifier
-
Ping Y., Yongheng L. Neighborhood rough set and SVM based hybrid credit scoring classifier. Expert Syst. Appl. 2011, 38(9):11300-11304.
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.9
, pp. 11300-11304
-
-
Ping, Y.1
Yongheng, L.2
-
21
-
-
84940479411
-
-
RapidMiner version 4.1 beta 2, 2001-2007. Available at
-
RapidMiner version 4.1 beta 2, 2001-2007. Available at:. http://www.rapidminer.com.
-
-
-
-
22
-
-
33845300232
-
Feature selection algorithms in classification problems:an experimental evaluation
-
Salappa A., Doumpos M., Zopounidis C. Feature selection algorithms in classification problems:an experimental evaluation. Optim. Methods Softw. 2007, 22(1):199-212.
-
(2007)
Optim. Methods Softw.
, vol.22
, Issue.1
, pp. 199-212
-
-
Salappa, A.1
Doumpos, M.2
Zopounidis, C.3
-
23
-
-
50849098868
-
A note on knowledge discovery using neural networks and its application to credit card screening
-
Setiono R., Baesens B., Mues C. A note on knowledge discovery using neural networks and its application to credit card screening. Eur. J. Oper. Res. 2009, 192(1):326-332.
-
(2009)
Eur. J. Oper. Res.
, vol.192
, Issue.1
, pp. 326-332
-
-
Setiono, R.1
Baesens, B.2
Mues, C.3
-
24
-
-
58549120948
-
Consumer credit scoring models with limited data
-
Sustersic M., Mramor D., Zupan J. Consumer credit scoring models with limited data. Expert Syst. Appl. 2009, 36(3):4736-4744.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.3
, pp. 4736-4744
-
-
Sustersic, M.1
Mramor, D.2
Zupan, J.3
-
25
-
-
0001466281
-
A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers
-
Thomas L.C. A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers. Int. J. Forecast. 2000, 16(2):149-172.
-
(2000)
Int. J. Forecast.
, vol.16
, Issue.2
, pp. 149-172
-
-
Thomas, L.C.1
-
26
-
-
59349101361
-
Feature selection in bankruptcy prediction
-
Tsai C.F. Feature selection in bankruptcy prediction. Knowl.-Based Syst. 2009, 22:120-127.
-
(2009)
Knowl.-Based Syst.
, vol.22
, pp. 120-127
-
-
Tsai, C.F.1
-
27
-
-
38649113538
-
Using neural network ensembles for bankruptcy prediction and credit scoring
-
Tsai C.F., Wu J.W. Using neural network ensembles for bankruptcy prediction and credit scoring. Expert Syst. Appl. 2008, 34(4):2639-2649.
-
(2008)
Expert Syst. Appl.
, vol.34
, Issue.4
, pp. 2639-2649
-
-
Tsai, C.F.1
Wu, J.W.2
-
28
-
-
71349085322
-
Multiple classifier application to credit risk assessment
-
Twala B. Multiple classifier application to credit risk assessment. Expert Syst. Appl. 2010, 37(4):3326-3336.
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.4
, pp. 3326-3336
-
-
Twala, B.1
-
29
-
-
84858341723
-
A case-based reasoning model that uses preference theory functions for credit scoring
-
Vukovic S., Delibasic B., Uzelac A., Suknovic M. A case-based reasoning model that uses preference theory functions for credit scoring. Expert Syst. Appl. 2012, 39(9):8389-8395.
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.9
, pp. 8389-8395
-
-
Vukovic, S.1
Delibasic, B.2
Uzelac, A.3
Suknovic, M.4
-
30
-
-
58349092287
-
Evolutionary-based feature selection approaches with new criteria for data mining:A case study of credit approval data
-
Wang C.M., Huang Y.F. Evolutionary-based feature selection approaches with new criteria for data mining:A case study of credit approval data. Expert Syst. Appl. 2009, 36(3):5900-5908.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.3
, pp. 5900-5908
-
-
Wang, C.M.1
Huang, Y.F.2
-
31
-
-
84855863614
-
A hybrid ensemble approach for enterprise credit risk assessment based on support vector machine
-
Wang G., Ma J. A hybrid ensemble approach for enterprise credit risk assessment based on support vector machine. Expert Syst. Appl. 2012, 39:5325-5331.
-
(2012)
Expert Syst. Appl.
, vol.39
, pp. 5325-5331
-
-
Wang, G.1
Ma, J.2
-
32
-
-
77956619458
-
A comparative assessment of ensemble learning for credit scoring
-
Wang G., Hao J., Ma J., Jiang H. A comparative assessment of ensemble learning for credit scoring. Expert Syst. Appl. 2011, 38(1):223-230.
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.1
, pp. 223-230
-
-
Wang, G.1
Hao, J.2
Ma, J.3
Jiang, H.4
-
33
-
-
84856536378
-
Rough set and scatter search metaheuristic based feature selection for credit scoring
-
Wang J., Hedar A.R., Wang S., Ma J. Rough set and scatter search metaheuristic based feature selection for credit scoring. Expert Syst. Appl. 2012, 39(6):6123-6128.
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.6
, pp. 6123-6128
-
-
Wang, J.1
Hedar, A.R.2
Wang, S.3
Ma, J.4
-
34
-
-
43049117533
-
Feature-selection ability of the decision-tree algorithm and the impact of feature-selection/extraction on decision-tree results based on hyperspectral data
-
Wang Y.Y., Li J. Feature-selection ability of the decision-tree algorithm and the impact of feature-selection/extraction on decision-tree results based on hyperspectral data. Int. J. Remote Sens. 2008, 22(10):2993-3010.
-
(2008)
Int. J. Remote Sens.
, vol.22
, Issue.10
, pp. 2993-3010
-
-
Wang, Y.Y.1
Li, J.2
-
36
-
-
56349130066
-
Credit scoring algorithm based on link analysis ranking with support vector machine
-
Xu X., Zhou C., Wang Z. Credit scoring algorithm based on link analysis ranking with support vector machine. Expert Syst. Appl. 2009, 36(2):2625-2632.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 2625-2632
-
-
Xu, X.1
Zhou, C.2
Wang, Z.3
-
37
-
-
56349099298
-
The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients
-
Yeh I.C., Lien C.h The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients. Expert Syst. Appl. 2009, 36(2):2473-2480.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 2473-2480
-
-
Yeh, I.C.1
Lien, C.H.2
-
38
-
-
56349095375
-
An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: the case of credit scoring
-
Yu L., Wang S., Lai K.K. An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: the case of credit scoring. Eur. J. Oper. Res. 2009, 195(3):942-959.
-
(2009)
Eur. J. Oper. Res.
, vol.195
, Issue.3
, pp. 942-959
-
-
Yu, L.1
Wang, S.2
Lai, K.K.3
-
39
-
-
55549146101
-
Credit scoring using support vector machines with direct search for parameters selection
-
Zhou L., Lai K.K., Yu L. Credit scoring using support vector machines with direct search for parameters selection. Soft Comput. 2009, 13:149-155.
-
(2009)
Soft Comput.
, vol.13
, pp. 149-155
-
-
Zhou, L.1
Lai, K.K.2
Yu, L.3
|