-
1
-
-
0034235633
-
Genetic programming for knowledge discovery in chest-pain diagnosis: exploring a promising data mining approach
-
Bojarczuk C.C., Lopes H.S., Freitas A.A. Genetic programming for knowledge discovery in chest-pain diagnosis: exploring a promising data mining approach. IEEE Engineering in Medicine and Biology Magazine 2000, 19:38-44.
-
(2000)
IEEE Engineering in Medicine and Biology Magazine
, vol.19
, pp. 38-44
-
-
Bojarczuk, C.C.1
Lopes, H.S.2
Freitas, A.A.3
-
4
-
-
3442893567
-
Evolutionary design of a fuzzy classifier from data
-
Chang X., Lilly J.H. Evolutionary design of a fuzzy classifier from data. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 2004, 34:1894-1906.
-
(2004)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.34
, pp. 1894-1906
-
-
Chang, X.1
Lilly, J.H.2
-
5
-
-
0030087643
-
Extracting rules from pruned neural networks for breast cancer diagnosis
-
Setiono R. Extracting rules from pruned neural networks for breast cancer diagnosis. Artificial Intelligence in Medicine 1996, 8:37-51.
-
(1996)
Artificial Intelligence in Medicine
, vol.8
, pp. 37-51
-
-
Setiono, R.1
-
6
-
-
0030109008
-
Symbolic representation of neural networks
-
Setiono R., Liu H. Symbolic representation of neural networks. Computer 1996, 29:71-77.
-
(1996)
Computer
, vol.29
, pp. 71-77
-
-
Setiono, R.1
Liu, H.2
-
7
-
-
10044289034
-
A support vector machine approach to decision trees
-
Bennett K.P., Blue J.A. A support vector machine approach to decision trees. Math Report 1997.
-
(1997)
Math Report
-
-
Bennett, K.P.1
Blue, J.A.2
-
12
-
-
0012725048
-
Fuzzy and crisp logical rule extraction methods in application to medical data
-
Duch W., Adamczak R., Grabczewski K., Zal G., Hayashi Y. Fuzzy and crisp logical rule extraction methods in application to medical data. Computational Intelligence and Applications 2000, 23:593-616.
-
(2000)
Computational Intelligence and Applications
, vol.23
, pp. 593-616
-
-
Duch, W.1
Adamczak, R.2
Grabczewski, K.3
Zal, G.4
Hayashi, Y.5
-
13
-
-
0034333688
-
A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders
-
Hayashi Y., Setiono R., Yoshida K. A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Artificial Intelligence in Medicine 2000, 20:205-216.
-
(2000)
Artificial Intelligence in Medicine
, vol.20
, pp. 205-216
-
-
Hayashi, Y.1
Setiono, R.2
Yoshida, K.3
-
14
-
-
0003489167
-
-
Springer-Verlag, London, Berlin, Heidelberg
-
Lisboa P.J.G., Ifeachor E.C., Szczepaniak P.S. Artificial Neural Networks in Biomedicine 2000, Springer-Verlag, London, Berlin, Heidelberg.
-
(2000)
Artificial Neural Networks in Biomedicine
-
-
Lisboa, P.J.G.1
Ifeachor, E.C.2
Szczepaniak, P.S.3
-
15
-
-
0034922742
-
Machine learning for medical diagnosis: history, state of the art and perspective
-
Kononenko I. Machine learning for medical diagnosis: history, state of the art and perspective. Artificial Intelligence in Medicine 2001, 23:89-109.
-
(2001)
Artificial Intelligence in Medicine
, vol.23
, pp. 89-109
-
-
Kononenko, I.1
-
16
-
-
0029484103
-
Survey and critique of techniques for extracting rules from trained artificial neural networks
-
Andrews R, Diederich J., Tickle A.B. Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-Based Systems 1995, 8:373-389.
-
(1995)
Knowledge-Based Systems
, vol.8
, pp. 373-389
-
-
Andrews, R.1
Diederich, J.2
Tickle, A.B.3
-
17
-
-
0032208720
-
The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks
-
Tickle A.B., Andrews R., Golea M., Diederich J. The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks. IEEE Transactions on Neural Networks 1998, 9:1057-1068.
-
(1998)
IEEE Transactions on Neural Networks
, vol.9
, pp. 1057-1068
-
-
Tickle, A.B.1
Andrews, R.2
Golea, M.3
Diederich, J.4
-
18
-
-
0034159928
-
Generating concise and accurate classification rules for breast cancer diagnosis
-
Setiono R. Generating concise and accurate classification rules for breast cancer diagnosis. Artificial Intelligence in Medicine 2000, 18:205-219.
-
(2000)
Artificial Intelligence in Medicine
, vol.18
, pp. 205-219
-
-
Setiono, R.1
-
19
-
-
0002940527
-
Data mining for customer service support
-
Hui S.C., Jha G. Data mining for customer service support. Information and Management 2000, 38:1-13.
-
(2000)
Information and Management
, vol.38
, pp. 1-13
-
-
Hui, S.C.1
Jha, G.2
-
20
-
-
1242287526
-
An investigation of a hybrid CBR method for failure mechanisms identification
-
Liao T.W. An investigation of a hybrid CBR method for failure mechanisms identification. Engineering Applications of Artificial Intelligence 2004, 17:123-134.
-
(2004)
Engineering Applications of Artificial Intelligence
, vol.17
, pp. 123-134
-
-
Liao, T.W.1
-
21
-
-
0347601950
-
Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis
-
Yang B.S., Han T., Kim Y.S. Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis. Expert Systems with Applications 2004, 26:387-395.
-
(2004)
Expert Systems with Applications
, vol.26
, pp. 387-395
-
-
Yang, B.S.1
Han, T.2
Kim, Y.S.3
-
22
-
-
33747101262
-
An intelligent decision support system for manufacturing technology investments
-
Hua Tan K., Peng Lim C., Platts K., Shen Koay H. An intelligent decision support system for manufacturing technology investments. International Journal of Production Economics 2006, 104:179-190.
-
(2006)
International Journal of Production Economics
, vol.104
, pp. 179-190
-
-
Hua Tan, K.1
Peng Lim, C.2
Platts, K.3
Shen Koay, H.4
-
23
-
-
33750477613
-
Case-DeSC: a system for case-based design with soft computing techniques
-
Saridakis K.M., Dentsoras A.J. Case-DeSC: a system for case-based design with soft computing techniques. Expert Systems with Applications 2007, 32:641-657.
-
(2007)
Expert Systems with Applications
, vol.32
, pp. 641-657
-
-
Saridakis, K.M.1
Dentsoras, A.J.2
-
24
-
-
0033339424
-
Automatic diagnosis with genetic algorithms and case-based reasoning
-
Garrell J.M., Guiu I., Golobardes E., Ribeó I., Bernadoó E., Mansilla I., Llorà X., Fàbrega I. Automatic diagnosis with genetic algorithms and case-based reasoning. Artificial Intelligence in Engineering 1999, 13:367-372.
-
(1999)
Artificial Intelligence in Engineering
, vol.13
, pp. 367-372
-
-
Garrell, J.M.1
Guiu, I.2
Golobardes, E.3
Ribeó, I.4
Bernadoó, E.5
Mansilla, I.6
Llorà, X.7
Fàbrega, I.8
-
25
-
-
4944222766
-
A new hybrid case-based architecture for medical diagnosis
-
Hsu C.C., Ho C.S. A new hybrid case-based architecture for medical diagnosis. Information Sciences 2004, 166:231-247.
-
(2004)
Information Sciences
, vol.166
, pp. 231-247
-
-
Hsu, C.C.1
Ho, C.S.2
-
26
-
-
2042469445
-
Prediction of arthritis using a modified Kohonen mapping and case based reasoning
-
Wyns B., et al. Prediction of arthritis using a modified Kohonen mapping and case based reasoning. Engineering Applications of Artificial Intelligence 2004, 17:205-211.
-
(2004)
Engineering Applications of Artificial Intelligence
, vol.17
, pp. 205-211
-
-
Wyns, B.1
-
27
-
-
53849110293
-
Global optimization of case-based reasoning for breast cytology diagnosis
-
Ahn H., Kim K.j. Global optimization of case-based reasoning for breast cytology diagnosis. Expert Systems with Applications 2009, 36:724-734.
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 724-734
-
-
Ahn, H.1
Kim, K.2
-
28
-
-
84863872580
-
A novel approach of waves of Swarm with case based reasoning to detect ground water potential
-
Panchal V.K., Kundra H., Kaur N. A novel approach of waves of Swarm with case based reasoning to detect ground water potential. Journal of Technology and Engineering Sciences 2009, 1:3-8.
-
(2009)
Journal of Technology and Engineering Sciences
, vol.1
, pp. 3-8
-
-
Panchal, V.K.1
Kundra, H.2
Kaur, N.3
-
29
-
-
0035476211
-
The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases
-
Kim K.S., Han I. The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases. Expert Systems with Applications 2001, 21:147-156.
-
(2001)
Expert Systems with Applications
, vol.21
, pp. 147-156
-
-
Kim, K.S.1
Han, I.2
-
30
-
-
53849129254
-
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
-
Li H., Sun J., Sun B.L. Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors. Expert Systems with Applications 2009, 36:643-659.
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 643-659
-
-
Li, H.1
Sun, J.2
Sun, B.L.3
-
31
-
-
16244381765
-
A hybrid system combining self-organizing maps with case-based reasoning in wholesaler's new-release book forecasting
-
Chang P.C., Lai C.Y. A hybrid system combining self-organizing maps with case-based reasoning in wholesaler's new-release book forecasting. Expert Systems with Applications 2005, 29:183-192.
-
(2005)
Expert Systems with Applications
, vol.29
, pp. 183-192
-
-
Chang, P.C.1
Lai, C.Y.2
-
32
-
-
33750447991
-
A hybrid system by evolving case-based reasoning with genetic algorithm in wholesaler's returning book forecasting
-
Chang P.C., Lai C.Y., Lai K.R. A hybrid system by evolving case-based reasoning with genetic algorithm in wholesaler's returning book forecasting. Decision Support Systems 2006, 42:1715-1729.
-
(2006)
Decision Support Systems
, vol.42
, pp. 1715-1729
-
-
Chang, P.C.1
Lai, C.Y.2
Lai, K.R.3
-
33
-
-
33748045826
-
A new hybrid data mining technique using a regression case based reasoning: application to financial forecasting
-
Chun S.H., Park Y.J. A new hybrid data mining technique using a regression case based reasoning: application to financial forecasting. Expert Systems with Applications 2006, 31:329-336.
-
(2006)
Expert Systems with Applications
, vol.31
, pp. 329-336
-
-
Chun, S.H.1
Park, Y.J.2
-
34
-
-
33846314346
-
Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review
-
Ravi Kumar P., Ravi V. Bankruptcy prediction in banks and firms via statistical and intelligent techniques - a review. European Journal of Operational Research 2007, 180:1-28.
-
(2007)
European Journal of Operational Research
, vol.180
, pp. 1-28
-
-
Ravi Kumar, P.1
Ravi, V.2
-
35
-
-
10244251598
-
Combining genetic algorithms and neural networks to build a signal pattern classifier
-
Youssif R.S., Purdy C.N. Combining genetic algorithms and neural networks to build a signal pattern classifier. Neurocomputing 2004, 61:39-56.
-
(2004)
Neurocomputing
, vol.61
, pp. 39-56
-
-
Youssif, R.S.1
Purdy, C.N.2
-
36
-
-
0030189493
-
An intelligent approach to time series identification by a neural network-driven decision tree classifier
-
Lee K.C., Oh S.B. An intelligent approach to time series identification by a neural network-driven decision tree classifier. Decision Support Systems 1996, 17:183-197.
-
(1996)
Decision Support Systems
, vol.17
, pp. 183-197
-
-
Lee, K.C.1
Oh, S.B.2
-
37
-
-
13544273825
-
Forecasting business profitability by using classification techniques: a comparative analysis based on a Spanish case
-
De Andrés J., Landajo M., Lorca P. Forecasting business profitability by using classification techniques: a comparative analysis based on a Spanish case. European Journal of Operational Research 2005, 167:518-542.
-
(2005)
European Journal of Operational Research
, vol.167
, pp. 518-542
-
-
De Andrés, J.1
Landajo, M.2
Lorca, P.3
-
38
-
-
43949151078
-
Corporate distress diagnosis: comparisons using linear discriminant analysis and neural networks (the Italian experience)
-
Altman E.I., Marco G., Varetto F. Corporate distress diagnosis: comparisons using linear discriminant analysis and neural networks (the Italian experience). Journal of Banking and Finance 1994, 18:505-529.
-
(1994)
Journal of Banking and Finance
, vol.18
, pp. 505-529
-
-
Altman, E.I.1
Marco, G.2
Varetto, F.3
-
39
-
-
0030262739
-
An interactive-graphic environment for automatic generation of decision trees
-
Kervahut T., Potvin J.Y. An interactive-graphic environment for automatic generation of decision trees. Decision Support Systems 1996, 18:117-134.
-
(1996)
Decision Support Systems
, vol.18
, pp. 117-134
-
-
Kervahut, T.1
Potvin, J.Y.2
-
40
-
-
0035245385
-
Fuzzy modeling of client preference from large data sets: an application to target selection in direct marketing
-
Setnes M., Kaymak U. Fuzzy modeling of client preference from large data sets: an application to target selection in direct marketing. IEEE Transactions on Fuzzy Systems 2001, 9:153-163.
-
(2001)
IEEE Transactions on Fuzzy Systems
, vol.9
, pp. 153-163
-
-
Setnes, M.1
Kaymak, U.2
-
46
-
-
84948144350
-
Maintaining case based reasoning systems using fuzzy decision trees
-
Shiu S.C.K., Sun C.H., Wang X.Z., Yeung D.S. Maintaining case based reasoning systems using fuzzy decision trees. Lecture Notes in Artificial Intelligence 2000, 1898:285-296.
-
(2000)
Lecture Notes in Artificial Intelligence
, vol.1898
, pp. 285-296
-
-
Shiu, S.C.K.1
Sun, C.H.2
Wang, X.Z.3
Yeung, D.S.4
-
49
-
-
0036582564
-
Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and Kernel Fisher discriminant analysis
-
Van Gestel T., et al. Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and Kernel Fisher discriminant analysis. Neural Computation 2002, 14:1115-1147.
-
(2002)
Neural Computation
, vol.14
, pp. 1115-1147
-
-
Van Gestel, T.1
-
53
-
-
0012618885
-
RIAC: A rule induction algorithm based on approximate classification
-
Hamilton H.J., Shan N., Cercone N. RIAC: A rule induction algorithm based on approximate classification. Technical Report CS 1996, 96.
-
(1996)
Technical Report CS
, vol.96
-
-
Hamilton, H.J.1
Shan, N.2
Cercone, N.3
-
55
-
-
0032960792
-
Obtaining interpretable fuzzy classification rules from medical data
-
Nauck D., Kruse R. Obtaining interpretable fuzzy classification rules from medical data. Artificial Intelligence in Medicine 1999, 16:149-169.
-
(1999)
Artificial Intelligence in Medicine
, vol.16
, pp. 149-169
-
-
Nauck, D.1
Kruse, R.2
|