-
1
-
-
41149115573
-
Bankruptcy forecasting: an empirical comparison of AdaBoost and neural networks
-
Alfaro E., Garcia N., Gamez M., Elizondo D. Bankruptcy forecasting: an empirical comparison of AdaBoost and neural networks. Decision Support Systems 2008, 45(1):110-122.
-
(2008)
Decision Support Systems
, vol.45
, Issue.1
, pp. 110-122
-
-
Alfaro, E.1
Garcia, N.2
Gamez, M.3
Elizondo, D.4
-
2
-
-
84980104458
-
Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
-
Altman E.I. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance 1968, 23(4):589-609.
-
(1968)
Journal of Finance
, vol.23
, Issue.4
, pp. 589-609
-
-
Altman, E.I.1
-
4
-
-
0035391093
-
Bankruptcy prediction for credit risk using neural network: a survey and new results
-
Atiya A.F. Bankruptcy prediction for credit risk using neural network: a survey and new results. IEEE Transactions on Neural Networks 2001, 12(4):929-935.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.4
, pp. 929-935
-
-
Atiya, A.F.1
-
5
-
-
0002554419
-
Financial ratios as predictors of failure
-
Beaver W. Financial ratios as predictors of failure. Journal of Accounting Research 1966, 4(Suppl.):71-111.
-
(1966)
Journal of Accounting Research
, vol.4
, Issue.SUPPL.
, pp. 71-111
-
-
Beaver, W.1
-
6
-
-
33749673034
-
Deciding the financial health of dot-coms using rough sets
-
Bose I. Deciding the financial health of dot-coms using rough sets. Information & Management 2006, 43(7):835-846.
-
(2006)
Information & Management
, vol.43
, Issue.7
, pp. 835-846
-
-
Bose, I.1
-
7
-
-
33746377912
-
Predicting the survival or failure of click-and-mortar corporations: a knowledge discovery approach
-
Bose I., Pal R. Predicting the survival or failure of click-and-mortar corporations: a knowledge discovery approach. European Journal of Operational Research 2006, 174(2):959-982.
-
(2006)
European Journal of Operational Research
, vol.174
, Issue.2
, pp. 959-982
-
-
Bose, I.1
Pal, R.2
-
8
-
-
58349098335
-
Failure prediction of dotcom companies using hybrid intelligent techniques
-
Chandra D., Ravi V., Bose I. Failure prediction of dotcom companies using hybrid intelligent techniques. Expert Systems with Applications 2009, 36(3):4830-4837.
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.3
, pp. 4830-4837
-
-
Chandra, D.1
Ravi, V.2
Bose, I.3
-
9
-
-
0346586663
-
SMOTE: synthetic minority oversampling technique
-
Chawla N., Hall L., Bowyer K., Kegelmeyer W. SMOTE: synthetic minority oversampling technique. Journal of Artificial Intelligence Research 2002, 16(1):321-357.
-
(2002)
Journal of Artificial Intelligence Research
, vol.16
, Issue.1
, pp. 321-357
-
-
Chawla, N.1
Hall, L.2
Bowyer, K.3
Kegelmeyer, W.4
-
11
-
-
0033116872
-
Business failure prediction using rough sets
-
Dimitras A., Slowinski R., Susmaga R., Zopounidis C. Business failure prediction using rough sets. European Journal of Operational Research 1999, 114(2):263-280.
-
(1999)
European Journal of Operational Research
, vol.114
, Issue.2
, pp. 263-280
-
-
Dimitras, A.1
Slowinski, R.2
Susmaga, R.3
Zopounidis, C.4
-
12
-
-
38649138750
-
Forecasting financial condition of Chinese listed companies based on support vector machine
-
Ding Y., Song X., Zeng Y. Forecasting financial condition of Chinese listed companies based on support vector machine. Expert Systems with Applications 2008, 34(4):3081-3089.
-
(2008)
Expert Systems with Applications
, vol.34
, Issue.4
, pp. 3081-3089
-
-
Ding, Y.1
Song, X.2
Zeng, Y.3
-
13
-
-
33748202031
-
Probabilistic neural networks for the identification of qualified audit opinions
-
Gaganis C., Pasiouras F., Doumpos M. Probabilistic neural networks for the identification of qualified audit opinions. Expert Systems with Applications 2007, 32(1):114-124.
-
(2007)
Expert Systems with Applications
, vol.32
, Issue.1
, pp. 114-124
-
-
Gaganis, C.1
Pasiouras, F.2
Doumpos, M.3
-
14
-
-
77956385089
-
Business failure prediction using decision trees
-
Gepp A., Kumar K., Bhattacharya S. Business failure prediction using decision trees. Journal of Forecasting 2010, 29(6):536-555.
-
(2010)
Journal of Forecasting
, vol.29
, Issue.6
, pp. 536-555
-
-
Gepp, A.1
Kumar, K.2
Bhattacharya, S.3
-
15
-
-
33646475871
-
Bayesian kernel based classification for financial distress detection
-
Gestel T., Baesens B., Suykens J., Van den Poel D., Baestaens D.-E., Willekens M. Bayesian kernel based classification for financial distress detection. European Journal of Operational Research 2006, 172(3):979-1003.
-
(2006)
European Journal of Operational Research
, vol.172
, Issue.3
, pp. 979-1003
-
-
Gestel, T.1
Baesens, B.2
Suykens, J.3
Van den Poel, D.4
Baestaens, D.-E.5
Willekens, M.6
-
16
-
-
0036148862
-
Analyzing bankruptcy in the restaurant industry: a multiple discriminant model
-
Gu Z. Analyzing bankruptcy in the restaurant industry: a multiple discriminant model. Intentional Journal of Hospitality Management 2002, 21(1):25-42.
-
(2002)
Intentional Journal of Hospitality Management
, vol.21
, Issue.1
, pp. 25-42
-
-
Gu, Z.1
-
17
-
-
70349171833
-
Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies
-
Hardle W., Lee Y., Schafer D., Yeh Y. Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies. Journal of Forecasting 2009, 28(6):512-534.
-
(2009)
Journal of Forecasting
, vol.28
, Issue.6
, pp. 512-534
-
-
Hardle, W.1
Lee, Y.2
Schafer, D.3
Yeh, Y.4
-
18
-
-
34447124447
-
Measuring retail company performance using credit scoring techniques
-
Hu Y., Ansell J. Measuring retail company performance using credit scoring techniques. European Journal of Operational Research 2007, 183(3):1595-1606.
-
(2007)
European Journal of Operational Research
, vol.183
, Issue.3
, pp. 1595-1606
-
-
Hu, Y.1
Ansell, J.2
-
19
-
-
73949152480
-
Retail default prediction by using sequential minimal optimization technique
-
Hu Y., Ansell J. Retail default prediction by using sequential minimal optimization technique. Journal of Forecasting 2009, 28(8):651-666.
-
(2009)
Journal of Forecasting
, vol.28
, Issue.8
, pp. 651-666
-
-
Hu, Y.1
Ansell, J.2
-
20
-
-
33846454686
-
Predicting corporate financial distress based on integration of support vector machine and logistic regression
-
Hua Z., Wang Y., Xu X., Zhang B., Liang L. Predicting corporate financial distress based on integration of support vector machine and logistic regression. Expert Systems with Applications 2007, 33(2):434-440.
-
(2007)
Expert Systems with Applications
, vol.33
, Issue.2
, pp. 434-440
-
-
Hua, Z.1
Wang, Y.2
Xu, X.3
Zhang, B.4
Liang, L.5
-
21
-
-
34548423990
-
Asemi-parametric method for predicting bankruptcy
-
Hwang R., Cheng K., Lee J. Asemi-parametric method for predicting bankruptcy. Journal of Forecasting 2007, 26(5):317-342.
-
(2007)
Journal of Forecasting
, vol.26
, Issue.5
, pp. 317-342
-
-
Hwang, R.1
Cheng, K.2
Lee, J.3
-
22
-
-
8744229924
-
Predicting firm financial distress: a mixed logit model
-
Jones S., Hensher D. Predicting firm financial distress: a mixed logit model. Accounting Review 2004, 79(4):1011-1038.
-
(2004)
Accounting Review
, vol.79
, Issue.4
, pp. 1011-1038
-
-
Jones, S.1
Hensher, D.2
-
23
-
-
64049087656
-
Predicting restaurant bankruptcy: a logit model in comparison with a discriminant model
-
Kim H., Gu Z. Predicting restaurant bankruptcy: a logit model in comparison with a discriminant model. Journal of Hospitality & Tourism Research 2006, 14(1):474-493.
-
(2006)
Journal of Hospitality & Tourism Research
, vol.14
, Issue.1
, pp. 474-493
-
-
Kim, H.1
Gu, Z.2
-
24
-
-
85010842387
-
Alogistic regression analysis for predicting bankruptcy in the hospitality industry
-
Kim H., Gu Z. Alogistic regression analysis for predicting bankruptcy in the hospitality industry. The Journal of Hospitality Financial Management 2006, 14(1):17-34.
-
(2006)
The Journal of Hospitality Financial Management
, vol.14
, Issue.1
, pp. 17-34
-
-
Kim, H.1
Gu, Z.2
-
25
-
-
33846314346
-
Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review
-
Kumar P.R., Ravi V. Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review. European Journal of Operational Research 2007, 180(1):1-28.
-
(2007)
European Journal of Operational Research
, vol.180
, Issue.1
, pp. 1-28
-
-
Kumar, P.R.1
Ravi, V.2
-
27
-
-
77956402613
-
Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction
-
Li H., Adeli H., Sun J., Han J.-G. Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction. Computers & Operations Research 2011, 38(2):409-419.
-
(2011)
Computers & Operations Research
, vol.38
, Issue.2
, pp. 409-419
-
-
Li, H.1
Adeli, H.2
Sun, J.3
Han, J.-G.4
-
28
-
-
54949111332
-
Ranking-order case-based reasoning for financial distress prediction
-
Li H., Sun J. Ranking-order case-based reasoning for financial distress prediction. Knowledge-Based Systems 2008, 21(8):868-878.
-
(2008)
Knowledge-Based Systems
, vol.21
, Issue.8
, pp. 868-878
-
-
Li, H.1
Sun, J.2
-
29
-
-
59649108839
-
Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II
-
Li H., Sun J. Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II. European Journal of Operational Research 2009, 197(1):214-224.
-
(2009)
European Journal of Operational Research
, vol.197
, Issue.1
, pp. 214-224
-
-
Li, H.1
Sun, J.2
-
30
-
-
77954908396
-
Forecasting business failure in China using case-based reasoning with hybrid representation
-
Li H., Sun J. Forecasting business failure in China using case-based reasoning with hybrid representation. Journal of Forecasting 2010, 29(5):486-501.
-
(2010)
Journal of Forecasting
, vol.29
, Issue.5
, pp. 486-501
-
-
Li, H.1
Sun, J.2
-
31
-
-
77949453078
-
Credit rating prediction using ant colony optimization
-
Martens D., Gestel T.V., Backer M., Haesen R., Vanthienen J., Mues C., Baesens B. Credit rating prediction using ant colony optimization. Journal of the Operational Research Society 2010, 61(4):561-573.
-
(2010)
Journal of the Operational Research Society
, vol.61
, Issue.4
, pp. 561-573
-
-
Martens, D.1
Gestel, T.V.2
Backer, M.3
Haesen, R.4
Vanthienen, J.5
Mues, C.6
Baesens, B.7
-
32
-
-
0348197047
-
Rough sets bankruptcy prediction models versus auditor signaling rates
-
McKee T. Rough sets bankruptcy prediction models versus auditor signaling rates. Journal of Forecasting 2002, 22(8):569-586.
-
(2002)
Journal of Forecasting
, vol.22
, Issue.8
, pp. 569-586
-
-
McKee, T.1
-
33
-
-
0004449990
-
Predicting bankruptcy using recursive partitioning and a realistically proportioned dataset
-
McKee T., Greenstein M. Predicting bankruptcy using recursive partitioning and a realistically proportioned dataset. Journal of Forecasting 2000, 19(3):219-230.
-
(2000)
Journal of Forecasting
, vol.19
, Issue.3
, pp. 219-230
-
-
McKee, T.1
Greenstein, M.2
-
34
-
-
0037117685
-
Genetic programming and rough sets: a hybrid approach to bankruptcy classification
-
McKee T., Lensberg T. Genetic programming and rough sets: a hybrid approach to bankruptcy classification. European Journal of Operational Research 2002, 138(2):436-451.
-
(2002)
European Journal of Operational Research
, vol.138
, Issue.2
, pp. 436-451
-
-
McKee, T.1
Lensberg, T.2
-
35
-
-
17844363481
-
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
-
Min J.-H., Lee Y.-C. Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters. Expert Systems with Applications 2005, 28(4):603-614.
-
(2005)
Expert Systems with Applications
, vol.28
, Issue.4
, pp. 603-614
-
-
Min, J.-H.1
Lee, Y.-C.2
-
36
-
-
33744925661
-
Hybrid genetic algorithms and support vector machines for bankruptcy prediction
-
Min S.-H., Lee J.-M., Han I. Hybrid genetic algorithms and support vector machines for bankruptcy prediction. Expert Systems with Applications 2006, 31(3):652-660.
-
(2006)
Expert Systems with Applications
, vol.31
, Issue.3
, pp. 652-660
-
-
Min, S.-H.1
Lee, J.-M.2
Han, I.3
-
38
-
-
71449090183
-
Anote on performance measures for business failure prediction models
-
Ooghe H., Spaenjers C. Anote on performance measures for business failure prediction models. Applied Economic Letters 2010, 17(1):67-70.
-
(2010)
Applied Economic Letters
, vol.17
, Issue.1
, pp. 67-70
-
-
Ooghe, H.1
Spaenjers, C.2
-
39
-
-
13544265385
-
Athreshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
-
Pendharkar P. Athreshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem. Computers & Operations Research 2005, 32(10):2561-2582.
-
(2005)
Computers & Operations Research
, vol.32
, Issue.10
, pp. 2561-2582
-
-
Pendharkar, P.1
-
40
-
-
75149191307
-
Failure prediction of dotcom companies using neural network-genetic programming hybrids
-
Ravisankar P., Ravi V., Bose I. Failure prediction of dotcom companies using neural network-genetic programming hybrids. Information Sciences 2010, 180(8):1257-1267.
-
(2010)
Information Sciences
, vol.180
, Issue.8
, pp. 1257-1267
-
-
Ravisankar, P.1
Ravi, V.2
Bose, I.3
-
41
-
-
27144457062
-
Firm bankruptcy prediction: experimental comparison of isotonic separation and other classification approaches
-
Ryu Y., Yue W. Firm bankruptcy prediction: experimental comparison of isotonic separation and other classification approaches. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 2005, 35(5):727-737.
-
(2005)
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
, vol.35
, Issue.5
, pp. 727-737
-
-
Ryu, Y.1
Yue, W.2
-
42
-
-
0035521221
-
Bayesian models for early warning of bank failures
-
Sarkar S., Sriram R.S. Bayesian models for early warning of bank failures. Management Science 2001, 47(11):1457-1475.
-
(2001)
Management Science
, vol.47
, Issue.11
, pp. 1457-1475
-
-
Sarkar, S.1
Sriram, R.S.2
-
43
-
-
9244259665
-
An application of support vector machines in bankruptcy prediction model
-
Shin K.-S., Lee T.-S., Kim H.-J. An application of support vector machines in bankruptcy prediction model. Expert Systems with Applications 2005, 28(1):127-135.
-
(2005)
Expert Systems with Applications
, vol.28
, Issue.1
, pp. 127-135
-
-
Shin, K.-S.1
Lee, T.-S.2
Kim, H.-J.3
-
44
-
-
45049088570
-
Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers
-
Sun J., Li H. Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers. Expert Systems with Applications 2008, 35(3):818-827.
-
(2008)
Expert Systems with Applications
, vol.35
, Issue.3
, pp. 818-827
-
-
Sun, J.1
Li, H.2
-
45
-
-
49549093161
-
Financial decision support using neural networks and support vector machines
-
Tsai C.-F. Financial decision support using neural networks and support vector machines. Expert Systems 2008, 25(4):380-393.
-
(2008)
Expert Systems
, vol.25
, Issue.4
, pp. 380-393
-
-
Tsai, C.-F.1
-
46
-
-
30944461783
-
Bankruptcy prediction with neural logit networks by means of grammar-guided genetic programming
-
Tsakonas A., Dounias G., Doumpos M., Zopounidis C. Bankruptcy prediction with neural logit networks by means of grammar-guided genetic programming. Expert Systems with Applications 2006, 30(3):449-461.
-
(2006)
Expert Systems with Applications
, vol.30
, Issue.3
, pp. 449-461
-
-
Tsakonas, A.1
Dounias, G.2
Doumpos, M.3
Zopounidis, C.4
-
47
-
-
70449532144
-
Comparing four bankruptcy prediction models: logit, quadratic interval logit, neural and fuzzy neural networks
-
Tseng F., Hu Y. Comparing four bankruptcy prediction models: logit, quadratic interval logit, neural and fuzzy neural networks. Expert Systems with Applications 2010, 37(3):1846-1853.
-
(2010)
Expert Systems with Applications
, vol.37
, Issue.3
, pp. 1846-1853
-
-
Tseng, F.1
Hu, Y.2
-
48
-
-
13544268431
-
Neural network ensemble strategies forfinancial decision applications
-
West D., Dellana S., Qian J. Neural network ensemble strategies forfinancial decision applications. Computers & Operations Research 2005, 32(10):2543-2559.
-
(2005)
Computers & Operations Research
, vol.32
, Issue.10
, pp. 2543-2559
-
-
West, D.1
Dellana, S.2
Qian, J.3
-
49
-
-
33751068050
-
Areal-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
-
Wu C., Tzeng G., Goo Y. Areal-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy. Expert Systems with Applications 2007, 32(2):397-408.
-
(2007)
Expert Systems with Applications
, vol.32
, Issue.2
, pp. 397-408
-
-
Wu, C.1
Tzeng, G.2
Goo, Y.3
-
50
-
-
71549144059
-
Predicting Korean lodging firm failures: an artificial neural network model along with a logistic regression model
-
Youn H., Gu Z. Predicting Korean lodging firm failures: an artificial neural network model along with a logistic regression model. International Journal of Hospitality Management 2010, 29(1):120-127.
-
(2010)
International Journal of Hospitality Management
, vol.29
, Issue.1
, pp. 120-127
-
-
Youn, H.1
Gu, Z.2
-
51
-
-
77954848458
-
Predict US restaurant firm failures: the artificial neural network model versus logistic regression model
-
Youn H., Gu Z. Predict US restaurant firm failures: the artificial neural network model versus logistic regression model. Tourism and Hospitality Research 2010, 10(3):1-17.
-
(2010)
Tourism and Hospitality Research
, vol.10
, Issue.3
, pp. 1-17
-
-
Youn, H.1
Gu, Z.2
|