References
- MalhotraNKA methodology for measuring consumer preference in developing countriesInt Mktg Rev1988535266
- YuJHKeownCFJacobsLWAttitude scale methodology: cross-cultural implicationsJ Int Mktg Res1993624564
- LevittTThe globalization of marketsHarvard Bus Rev19833092102
- SetionoRExtracting M-of-N rules from trained neural networksIEEE Trans Neural Netw200011251251910.1109/72.839020
- KimCNMcLeodRJrExpert, linear models, and nonlinear models of expert decision making in bankruptcy prediction: a lens model analysisJ Mngt Inf Syst199916118920610.1080/07421222.1999.11518239
- WilsonRLShardaRBankruptcy prediction using neural networksDec Sup Syst199411554555710.1016/0167-9236(94)90024-8
- DuttaSShekharSWongWYDecision support in a non-conservative do-mains: generalization with of neural networksDec Sup Syst19941152754410.1016/0167-9236(94)90023-X
- EtheridgeHLSriramRSHsuHYKA comparison of selected artificial neural networks that help auditors evaluate client financial viabilityDec Sci20003153154910.1111/j.1540-5915.2000.tb01633.x
- TanaSSKohHCA multi-layer perceptron model of credit scoring for assessing default risk in charge card applicantsInt J Mngt1992142250255
- DesaiVSBharatiRThe efficacy of neural networks in predicting returns on stocks and bondsDec Sci19982940542510.1111/j.1540-5915.1998.tb01582.x
- JainBNagBNPerformance evaluation of neural network decision modelsJ Mngt Inf Syst199714202216
- ZhangGHuMYPatuwoBEIndroDCArtificial neural networks in bankruptcy predictionEur J Oprl Res1999116163210.1016/S0377-2217(98)00051-4
- KiangMKumarAAn evaluation of self-organizing map networks as a robust alternative to factor analysis in data mining applicationsInf Syst Res20011217719410.1287/isre.12.2.177.9696
- PiramuthuSShawMJA classification approach using multi-layered neural networksDec Sup Syst19941150952510.1016/0167-9236(94)90022-1
- SpanglerWEMayJHVargasLGChoosing data-mining methods for multiple classification: representational and performance measurement implications for decision supportJ Mngt Inf Syst1999161376210.1080/07421222.1999.11518233
- SungTKChangNLeeGDynamics of modeling in data mining: interpretive approach to bankruptcy predictionJ Mngt Inf Syst1999161638510.1080/07421222.1999.11518234
- AndrewsRDiederichJTickleABThe truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networksIEEE Trans Neural Netw1998961057106810.1109/72.728352
- Setiono R, Leow WK and Thong JY-L (2000). Opening the neural network blackbox: an algorithm for extracting rule from function approximating neural networks. Proceedings of ICIS 2000 International Conference on Information Systems, Brisbane, Australia.
- Baesens B, Setiono R, Moes C, Viane S and Vanthienen J (2001). Building credit scoring expert systems using neural network rule extraction and decision tables. Proceedings of ICIS 2001, International Conference on Information Systems, New Orleans, USA.
- RumelhartDEMcClellandJLParallel Distributed Processing1986
- TowellGGShavlikJWExtracting refined rules from knowledge-based neural networksMach Learn199313171101
- HsiehM-HIdentifying brand image dimensionality and measuring degree of brand globalization: a cross-national studyJ Int Mktg20021024667
- HornikKStinchcombeKMWhiteWMultilayer feedforward neural networks are universal approximatorsNeural Netw1989235936610.1016/0893-6080(89)90020-8
- SetionoRA neural network construction algorithm which maximizes the likelihood functionCon Sci19957214716610.1080/09540099550039327
- HagiwaraMA simple and effective method for removal of hidden units and weightsNeurocomputing1994620721810.1016/0925-2312(94)90055-8
- QuinlanRC4.5: Programs for Machine Learning1993
- QuinlanRLearning efficient classification procedures and their application to chess end gamesMachine Learning: An Artificial Intelligence Approach1983
- KimCNChungHMInductive modeling of expert decision making in loan evaluationDec Sup Syst1997122191200
- JapkowiczNStephenSThe class imbalance problem: a systematic studyInt Data Anal J200265429450