-
1
-
-
0028565943
-
Bottom-up induction of oblivious read-once decision graphs: Strengths and limitation
-
AAAI Press
-
R. Kohavi, Bottom-up induction of oblivious read-once decision graphs: strengths and limitation, in Proceedings of the 12th National Conference on Artificial Intelligence, AAAI Press, 1994, pp. 613-618.
-
(1994)
Proceedings of the 12th National Conference on Artificial Intelligence
, pp. 613-618
-
-
Kohavi, R.1
-
4
-
-
85173861829
-
Automated discovery of medical expert system rules from clinical databases based on Rough Sets
-
AAAI Press, Menlo Park
-
S. Tsumoto and H. Tanaka, Automated discovery of medical expert system rules from clinical databases based on Rough Sets, in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD'96), AAAI Press, Menlo Park, 1996, pp. 63-69.
-
(1996)
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD'96)
, pp. 63-69
-
-
Tsumoto, S.1
Tanaka, H.2
-
5
-
-
0026908146
-
Evaluation of vibroacoustic diagnostic symptoms by means of the rough sets theory
-
R. Nowicki, R. Slowinski and J. Stefanowski, Evaluation of vibroacoustic diagnostic symptoms by means of the rough sets theory, Computers in Industry 20 (1992), 141-152.
-
(1992)
Computers in Industry
, vol.20
, pp. 141-152
-
-
Nowicki, R.1
Slowinski, R.2
Stefanowski, J.3
-
6
-
-
0012923406
-
An application of Datalogic/R knowledge discovery tool to identify strong predictive rules in stock market data
-
Washington, DC
-
W. Ziarko, R. Golan and D. Edwards, An application of Datalogic/R knowledge discovery tool to identify strong predictive rules in stock market data, in Proceedings of AAAI Workshop on Knowledge Discovery in Databases, Washington, DC, 1993, pp. 93-101.
-
(1993)
Proceedings of AAAI Workshop on Knowledge Discovery in Databases
, pp. 93-101
-
-
Ziarko, W.1
Golan, R.2
Edwards, D.3
-
7
-
-
0034249467
-
Fault diagnosis using rough sets theory
-
L. Shen, E.H. Tay, L. Qu and Y. Shen, Fault Diagnosis Using Rough Sets Theory, Computers in Industry 43(1) (2000), 61-72.
-
(2000)
Computers in Industry
, vol.43
, Issue.1
, pp. 61-72
-
-
Shen, L.1
Tay, E.H.2
Qu, L.3
Shen, Y.4
-
8
-
-
85139983802
-
Supervised and unsupervised discretization of continuous features
-
Morgan Kaufmann San Francisco Calif
-
J. Dougherty, R.Kohavi and M. Sahami, Supervised and Unsupervised Discretization of Continuous Features, in Machine Learning: Proc. 12th Int'l Conf., Morgan Kaufmann, San Francisco, Calif., 1995, pp. 194-202.
-
(1995)
Machine Learning: Proc. 12th Int'l Conf
, pp. 194-202
-
-
Dougherty, J.1
Kohavi, R.2
Sahami, M.3
-
9
-
-
0000864105
-
Global discretization of continuous attributes as preprocessing for machine learning
-
M. Chmielewski and J. Grzrmala-Busse, Global Discretization of Continuous Attributes as Preprocessing for Machine Learning, International Journal of Approximate Reasoning 15(4) (1996), 319-331.
-
(1996)
International Journal of Approximate Reasoning
, vol.15
, Issue.4
, pp. 319-331
-
-
Chmielewski, M.1
Grzrmala-Busse, J.2
-
12
-
-
0031189159
-
Feature selection via discretization of numeric attributes
-
H. Liu and R. Setiono, Feature Selection via Discretization of Numeric Attributes, IEEE Trans. Knowledge and Data Engineering 9(4) (1997), 642-645.
-
(1997)
IEEE Trans. Knowledge and Data Engineering
, vol.9
, Issue.4
, pp. 642-645
-
-
Liu, H.1
Setiono, R.2
-
13
-
-
0005942017
-
-
Project Report, Knowledge Systems Group, Department of Computer Systems and Telematics, The Norwegian Institute of Technology, University of Trondheim
-
K.M. Risvik, Discretization of Numerical Attributes, Preprocessing for Machine Learning, Project Report, Knowledge Systems Group, Department of Computer Systems and Telematics, The Norwegian Institute of Technology, University of Trondheim, 1997.
-
(1997)
Discretization of Numerical Attributes, Preprocessing for Machine Learning
-
-
Risvik, K.M.1
-
15
-
-
0002846304
-
Rough classification of HSV patients
-
(Chapter 6), R Slowinski, ed Kluwer Academic Publishers
-
K. Slowinski, Rough Classification of HSV Patients, in Intelligent Decision Support-Handbook of Applications and Advances of the Rough Sets Theory, (Chapter 6), R. Slowinski, ed., Kluwer Academic Publishers, 1992, pp 77-94.
-
(1992)
Intelligent Decision Support-Handbook of Applications and Advances of the Rough Sets Theory
, pp. 77-94
-
-
Slowinski, K.1
-
17
-
-
4243998561
-
Computer systems that learn: Calssification and prediction methods from statistics
-
Morgan Kaufmann, San Mateo, Calif
-
S.M.Weiss and C.A. Kulikowski, Computer Systems That Learn: Calssification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems, Morgan Kaufmann, San Mateo, Calif., 1990.
-
(1990)
Neural Nets, Machine Learning, and Expert Systems
-
-
Weiss, S.M.1
Kulikowski, C.A.2
-
18
-
-
85119615481
-
Error based and entropy-based discretization of continuous features
-
AAAI Press, Menlo Park
-
R. Kohavi and M. Sahami, Error Based and Entropy-Based Discretization of Continuous Features, in Proceedings of the 2nd International Conference on Knowledge Discovery & Data Mining, AAAI Press, Menlo Park, 1996, pp. 114-119.
-
(1996)
Proceedings of the 2nd International Conference on Knowledge Discovery & Data Mining
, pp. 114-119
-
-
Kohavi, R.1
Sahami, M.2
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