A note on knowledge discovery using neural networks and its application to credit card screening
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[1] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[2] Bart BaesensRudy. Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation , 2003 .
[3] Aiko M. Hormann,et al. Programs for Machine Learning. Part I , 1962, Inf. Control..
[4] Lutz Prechelt,et al. PROBEN 1 - a set of benchmarks and benchmarking rules for neural network training algorithms , 1994 .
[5] Rudy Setiono. Extracting M-of-N rules from trained neural networks , 2000, IEEE Trans. Neural Networks Learn. Syst..
[6] Randall S. Sexton,et al. Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem , 2006, Eur. J. Oper. Res..
[7] Rudy Setiono,et al. A Penalty-Function Approach for Pruning Feedforward Neural Networks , 1997, Neural Computation.
[8] Huan Liu,et al. Symbolic Representation of Neural Networks , 1996, Computer.
[9] Huan Liu,et al. NeuroLinear: From neural networks to oblique decision rules , 1997, Neurocomputing.
[10] Daniel Rivero,et al. A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP , 2004, Neural Computation.
[11] Bart Baesens,et al. Recursive Neural Network Rule Extraction for Data With Mixed Attributes , 2008, IEEE Transactions on Neural Networks.
[12] Paulo J. G. Lisboa,et al. Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach , 2006, IEEE Transactions on Neural Networks.
[13] Joachim Diederich,et al. Survey and critique of techniques for extracting rules from trained artificial neural networks , 1995, Knowl. Based Syst..