-
1
-
-
0029407394
-
Applications of inductive logic programming
-
November
-
[1]. Ivan Bratko and Stephen Muggleton. Applications of inductive logic programming. Communications of the ACM, 38(11):65-70, November 1995
-
(1995)
Communications of the ACM
, vol.38
, Issue.11
, pp. 65-70
-
-
Bratko, I.1
Muggleton, S.2
-
3
-
-
0002976263
-
Recursive automatic bias selection for classifier construction
-
[3]. Carla E. Brodley. Recursive automatic bias selection for classifier construction. Machine Learning, 20:63-94, 1995.
-
(1995)
Machine Learning
, vol.20
, pp. 63-94
-
-
Brodley, C.E.1
-
4
-
-
85015191605
-
Rule induction with CN2: Some recent improvements
-
Y.Kodratoff, editor, Porto, Portugal, March , Springer Verlag
-
[4] P. Clark and R. Boswell. Rule induction with CN2: Some recent improvements. In Y.Kodratoff, editor, Proceedings of the European Working Session on Learning: Machine Learning (EWSL-91), volume 482 of LNAI, pages 151-163, Porto, Portugal, March 1991. Springer Verlag.
-
(1991)
Proceedings of the European Working Session on Learning: Machine Learning (EWSL-91), Volume 482 of LNAI
, pp. 151-163
-
-
Clark, P.1
Boswell, R.2
-
5
-
-
34249966007
-
The CN2 induction algorithm
-
[5] Peter Clark and Tim Niblett. The CN2 induction algorithm. Machine Learning, 3:261, 1988.
-
(1988)
Machine Learning
, vol.3
, pp. 261
-
-
Clark, P.1
Niblett, T.2
-
7
-
-
0002169158
-
Knowledge discovery in databases: An overview
-
[7] W.J. Frawley, G. Piatetsky-Shapiro, and C.J. Matheus. Knowledge discovery in databases: an overview. AI Magazine, 13(3):57-70, 1992.
-
(1992)
AI Magazine
, vol.13
, Issue.3
, pp. 57-70
-
-
Frawley, W.J.1
Piatetsky-Shapiro, G.2
Matheus, C.J.3
-
8
-
-
0002475334
-
A survey of data mining and knowledge discovery software tools
-
ACM SIGKDD, June
-
[8] Michael Goebel and Le Gruenwald. A survey of data mining and knowledge discovery software tools. In SIGKDD Explorations. ACM SIGKDD, June 1999.
-
(1999)
SIGKDD Explorations
-
-
Goebel, M.1
Le, G.2
-
10
-
-
0003707420
-
-
MIT Press, Cambridge, MA
-
[10]. John H. Holland, J. Holyoak K R. E. Nisbett, and P. R. Thagard. Induction: Processes of Inference, Learning, and Discovery. MIT Press, Cambridge, MA, 1987.
-
(1987)
Induction: Processes of Inference, Learning, and Discovery
-
-
Holland, J.H.1
Holyoak, J.2
Nisbett, K.3
Thagard, P.R.4
-
12
-
-
0029407395
-
Applications of machine learning and rule induction
-
Nov
-
[12]. Pat Langley and H.A. Simon. Applications of machine learning and rule induction. Communications of the ACM, 38(11):55-64, Nov 1995.
-
(1995)
Communications of the ACM
, vol.38
, Issue.11
, pp. 55-64
-
-
Langley, P.1
Simon, H.A.2
-
13
-
-
0004041696
-
-
Kluwer
-
[13]. Nada Lavrac, Elpida Keravnou, and Blaz Zupan. Intelligent Data Analysis in Medicine and Pharmacology, chapter Intelligent Data Analysis in Medicine and Pharmacology: An Overview, pages 1-13. Kluwer, 1997.
-
(1997)
Intelligent Data Analysis in Medicine and Pharmacology, Chapter Intelligent Data Analysis in Medicine and Pharmacology: An Overview
, pp. 1-13
-
-
Lavrac, N.1
Keravnou, E.2
Zupan, B.3
-
14
-
-
0345567198
-
An empirical comparison of decision trees and other classification methods
-
University of Wisconsin-Madison, Madison, WI, June 30
-
[14]. T.-S. Lim, W.-Y. Loh, and Y.-S. Shih. An empirical comparison of decision trees and other classification methods. Technical Report 979, Department of Statistics, University of Wisconsin-Madison, Madison, WI, June 30 1997.
-
(1997)
Technical Report 979, Department of Statistics
-
-
Lim, T.-S.1
Loh, W.-Y.2
Shih, Y.-S.3
-
15
-
-
0027500150
-
A comparison of logistic regression to decision-tree induction in a medical domain
-
W.J. Long, J.L. Griffith, H.P. Selker, and R.B D’Agostino. A comparison of logistic regression to decision-tree induction in a medical domain. Computers and Biomedical Research, 26:74-97, 1993.
-
(1993)
Computers and Biomedical Research
, vol.26
, pp. 74-97
-
-
Long, W.J.1
Griffith, J.L.2
Selker, H.P.3
D’Agostino, R.B.4
-
16
-
-
0003915394
-
The AQ15 inductive learning system: An overview and experiments
-
Orsay, Université de Paris-Sud
-
[16]. R. Michalski, I. Mozetic, J. Hong, and N. Lavrac. The AQ15 inductive learning system: an overview and experiments. In Proceedings of IMAL 1986, Orsay, 1986. Université de Paris-Sud.
-
(1986)
Proceedings of IMAL 1986
-
-
Michalski, R.1
Mozetic, I.2
Hong, J.3
Lavrac, N.4
-
17
-
-
0000942050
-
A theory and methodology of inductive learning
-
[17]. R S Michalski. A theory and methodology of inductive learning. Artificial Intelligence, 20:111-161, 1983.
-
(1983)
Artificial Intelligence
, vol.20
, pp. 111-161
-
-
Michalski, R.S.1
-
18
-
-
85005299854
-
The multipurpose incremental learning system AQ15 and its testing application to three medical domains
-
Philadelphia
-
[18]. Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, and Nada Lavrac. The multipurpose incremental learning system AQ15 and its testing application to three medical domains. In Proceedings of the 5th national conference on Artificial Intelligence, pages 1041-1045, Philadelphia, 1986.
-
(1986)
Proceedings of the 5Th National Conference on Artificial Intelligence
, pp. 1041-1045
-
-
Michalski, R.S.1
Mozetic, I.2
Hong, J.3
Lavrac, N.4
-
20
-
-
0003583118
-
-
A Practical Guide.Morgan Kaufmann. San Frncisco, CA
-
[20] Weiss, S and Indurkhya:. Predictive Data Mining. A Practical Guide.Morgan Kaufmann. San Frncisco, CA. 1998.
-
(1998)
Predictive Data Mining
-
-
Weissand, S.1
Indurkhya2
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