-
1
-
-
0010729966
-
Learning fuzzy decision rules
-
(J.C. Bezdek, D. Dubois, H. Prade, eds.), The Handbooks of Fuzzy Sets Series, Kluwer Academic Publishers
-
B. Bouchon-Meunier and C. Marsala. Learning fuzzy decision rules. In Fuzzy Sets in Approximate Reasoning and Information Systems, (J.C. Bezdek, D. Dubois, H. Prade, eds.), The Handbooks of Fuzzy Sets Series, pages 279-304. Kluwer Academic Publishers, 1999.
-
(1999)
Fuzzy Sets in Approximate Reasoning and Information Systems
, pp. 279-304
-
-
Bouchon-Meunier, B.1
Marsala, C.2
-
4
-
-
0030577310
-
What are fuzzy rules and how to use them
-
D. Dubois and H. Prade. What are fuzzy rules and how to use them. Fuzzy Sets and Systems, 84:169-189, 1996.
-
(1996)
Fuzzy Sets and Systems
, vol.84
, pp. 169-189
-
-
Dubois, D.1
Prade, H.2
-
5
-
-
0003024008
-
On the handling of continuous-valued attributes in decision tree design
-
U.M. Fayyad and K.B. Irani. On the handling of continuous-valued attributes in decision tree design. Machine Learning, 8:87-102, 1992.
-
(1992)
Machine Learning
, vol.8
, pp. 87-102
-
-
Fayyad, U.M.1
Irani, K.B.2
-
6
-
-
0002593344
-
Multi-interval discretization of continuous-valued attributes for classification learning
-
R. Bajcsy, editor, Morgan Kaufmann
-
U.M. Fayyad and K.B. Irani. Multi-interval discretization of continuous-valued attributes for classification learning. In R. Bajcsy, editor, Proceedings of the 13th International Joint Conference on Artificial Intelligence, pages 1022-1027. Morgan Kaufmann, 1993.
-
(1993)
Proceedings of the 13th International Joint Conference on Artificial Intelligence
, pp. 1022-1027
-
-
Fayyad, U.M.1
Irani, K.B.2
-
7
-
-
0025535649
-
An analysis of first-order logics of probability
-
J. Halpern. An analysis of first-order logics of probability. Artificial Intelligence, 46:310-355, 1990.
-
(1990)
Artificial Intelligence
, vol.46
, pp. 310-355
-
-
Halpern, J.1
-
8
-
-
35248823850
-
Implication-based fuzzy association rules
-
L. De Raedt and editors A. Siebes, editors, in LNAI, Springer
-
E. Hullermeier. Implication-based fuzzy association rules. In L. De Raedt and editors A. Siebes, editors, Proc. PKDD-01. 5th Conf. on Principles and Pratice of Knowledge Discovery in Databases, number 2168 in LNAI, pages 241-252. Springer, 2001.
-
(2001)
Proc. PKDD-01. 5th Conf. on Principles and Pratice of Knowledge Discovery in Databases
, Issue.2168
, pp. 241-252
-
-
Hullermeier, E.1
-
9
-
-
77951503082
-
Inverse entailment and Progol
-
S.H. Muggleton. Inverse entailment and Progol. New Generation Computing, 13:245-286, 1995.
-
(1995)
New Generation Computing
, vol.13
, pp. 245-286
-
-
Muggleton, S.H.1
-
10
-
-
0012839006
-
Neuro-tuzzy methods in fuzzy rule generation
-
J.C. Bezdek, D. Dubois, H. Prade, eds., The Handbooks of Fuzzy Sets Series, Kluwer Academic Publishers
-
D. Nauck and R. Kruse. Neuro-tuzzy methods in fuzzy rule generation. In Fuzzy Sets in Approximate Reasoning and Information Systems, (J.C. Bezdek, D. Dubois, H. Prade, eds., The Handbooks of Fuzzy Sets Series, pages 305-334. Kluwer Academic Publishers, 1999.
-
(1999)
Fuzzy Sets in Approximate Reasoning and Information Systems
, pp. 305-334
-
-
Nauck, D.1
Kruse, R.2
-
12
-
-
9444227683
-
Enriching relational learning with fuzzy predicates
-
Springer
-
H. Prade, G. Richard, and M. Serrurier. Enriching relational learning with fuzzy predicates. In Proc7 th European Conference on Principle and Practice of Knowledge Discovery in Databases (PKDD 2003), volume 2838 of LNAI, pages 399-410. Springer, 2003.
-
(2003)
Proc7 Th European Conference on Principle and Practice of Knowledge Discovery in Databases (PKDD 2003), Volume 2838 of LNAI
, vol.2838
, pp. 399-410
-
-
Prade, H.1
Richard, G.2
Serrurier, M.3
-
13
-
-
8344276733
-
On the induction of different kinds of first-order fuzzy rules
-
Springer
-
H. Prade, G. Richard, and M. Serrurier. On the induction of different kinds of first-order fuzzy rules. In Proc. 7 th European Conference on Symbolic and Qualitative Approaches to Reasoning with Uncertainty (ECSQARU-03), volume 2711 of LNAI, pages 370-381. Springer, 2003.
-
(2003)
Proc. 7 Th European Conference on Symbolic and Qualitative Approaches to Reasoning with Uncertainty (ECSQARU-03), Volume 2711 of LNAI
, vol.2711
, pp. 370-381
-
-
Prade, H.1
Richard, G.2
Serrurier, M.3
-
14
-
-
33744584654
-
Induction of decision trees
-
J. R. Quinlan. Induction of decision trees. Machine Learning. 1:81-106, 1986.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
15
-
-
0001172265
-
Learning logical definitions from relations
-
J. R. Quinlan. Learning logical definitions from relations. Machine Learning, 5:239-266, 1990.
-
(1990)
Machine Learning
, vol.5
, pp. 239-266
-
-
Quinlan, J.R.1
-
17
-
-
11144325794
-
The benefits of using fuzzy discretisation for the induction of logic rules
-
In submission
-
M. Serrurier and H. Prade. The benefits of using fuzzy discretisation for the induction of logic rules. IRIT Tech. Rep., 2004. In submission.
-
(2004)
IRIT Tech. Rep.
-
-
Serrurier, M.1
Prade, H.2
-
18
-
-
22644449663
-
Methodologies for knowledge discovery and data mining
-
In Ning Zhong and Lizhu Zhou, editors, in LNAI, Springer
-
D. Shibata, N. Inuzuka, S. Katoand, T. Matsui, and H. Itoh. Methodologies for knowledge discovery and data mining. In In Ning Zhong and Lizhu Zhou, editors, Proceedings of The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99). number 1574 in LNAI, pages 268-273. Springer,1999.
-
(1999)
Proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99)
, Issue.1574
, pp. 268-273
-
-
Shibata, D.1
Inuzuka, N.2
Katoand, S.3
Matsui, T.4
Itoh, H.5
|