-
1
-
-
0001371923
-
Fast discovery of association rules
-
U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors The MIT Press
-
R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A.I. Verkamo. Fast discovery of association rules. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, pages 307-328. The MIT Press, 1996.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 307-328
-
-
Agrawal, R.1
Mannila, H.2
Srikant, R.3
Toivonen, H.4
Verkamo, A.I.5
-
2
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
P. Buneman and S. Jajodia, editors Washington, D.C., USA, May ACM
-
Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large databases. In P. Buneman and S. Jajodia, editors, Proceedings of ACM SIGMOD Conference on Management of Data, pages 207-216, Washington, D.C., USA, May 1993. ACM.
-
(1993)
Proceedings of ACM SIGMOD Conference on Management of Data
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
5
-
-
0002652285
-
A maximum entropy approach to natural language processing
-
A.L. Berger, V.J. Della Pietra, and S.A. Della Pietra. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39-71, 1996.
-
(1996)
Computational Linguistics
, vol.22
, Issue.1
, pp. 39-71
-
-
Berger, A.L.1
Della Pietra, V.J.2
Della Pietra, S.A.3
-
7
-
-
2542439351
-
-
PhD thesis, Department of Computer Science, Katholieke Universiteit Leuven
-
H. Blockeel. Top-down induction of first order logical decision trees. PhD thesis, Department of Computer Science, Katholieke Universiteit Leuven, 1998. http://www.cs.kuleuven.ac.be/~ml/PS/blockeel98:phd.ps.gz.
-
(1998)
Top-down Induction of First Order Logical Decision Trees
-
-
Blockeel, H.1
-
8
-
-
2342521225
-
Experiments with top-down induction of logical decision trees
-
K.U. Leuven, January Also in Periodic Progress Report ESPRIT Project ILP2, January 1997
-
H. Blockeel and L. De Raedt. Experiments with top-down induction of logical decision trees. Technical Report CW 247, Dept. of Computer Science, K.U. Leuven, January 1997. Also in Periodic Progress Report ESPRIT Project ILP2, January 1997. http://www.cs.kuleuven.ac.be/publicaties/rapporten/CW1997.html.
-
(1997)
Technical Report CW 247, Dept. of Computer Science
-
-
Blockeel, H.1
De Raedt, L.2
-
9
-
-
0032069371
-
Top-down induction of first order logical decision trees
-
June
-
H. Blockeel and L. De Raedt. Top-down induction of first order logical decision trees. Artificial Intelligence, 101(1-2):285-297, June 1998.
-
(1998)
Artificial Intelligence
, vol.101
, Issue.1-2
, pp. 285-297
-
-
Blockeel, H.1
De Raedt, L.2
-
11
-
-
0029407394
-
Applications of inductive logic programming
-
I. Bratko and S. Muggleton. Applications of inductive logic programming. Communications of the ACM, 38(11):65-70, 1995.
-
(1995)
Communications of the ACM
, vol.38
, Issue.11
, pp. 65-70
-
-
Bratko, I.1
Muggleton, S.2
-
12
-
-
0003802343
-
-
Wadsworth, Belmont
-
L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone. Classification and Regression Trees. Wadsworth, Belmont, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
13
-
-
85015191605
-
Rule induction with CN2: Some recent improvements
-
Yves Kodratoff, editor Springer-Verlag
-
P. Clark and R. Boswell. Rule induction with CN2: Some recent improvements. In Yves Kodratoff, editor, Proceedings of the Fifth European Working Session on Learning, volume 482 of Lecture Notes in Artificial Intelligence, pages 151-163. Springer-Verlag, 1991.
-
(1991)
Proceedings of the Fifth European Working Session on Learning, Volume 482 of Lecture Notes in Artificial Intelligence
, pp. 151-163
-
-
Clark, P.1
Boswell, R.2
-
14
-
-
34249966007
-
The CN2 algorithm
-
P. Clark and T. Niblett. The CN2 algorithm. Machine Learning, 3(4):261-284, 1989.
-
(1989)
Machine Learning
, vol.3
, Issue.4
, pp. 261-284
-
-
Clark, P.1
Niblett, T.2
-
16
-
-
0002428766
-
Learning to classify English text with ILP methods
-
Luc De Raedt, editor IOS Press, Amsterdam, NL
-
W. Cohen. Learning to classify English text with ILP methods. In Luc De Raedt, editor, Advances in inductive logic programming, pages 124-143. IOS Press, Amsterdam, NL, 1996.
-
(1996)
Advances in Inductive Logic Programming
, pp. 124-143
-
-
Cohen, W.1
-
17
-
-
0028485869
-
Grammatically biased learning: Learning logic programs using an explicit antecedent description language
-
W.W. Cohen. Grammatically biased learning: learning logic programs using an explicit antecedent description language. Artificial Intelligence, 68:303-366, 1994.
-
(1994)
Artificial Intelligence
, vol.68
, pp. 303-366
-
-
Cohen, W.W.1
-
18
-
-
0031198976
-
Logical settings for concept learning
-
L. De Raedt. Logical settings for concept learning. Artificial Intelligence, 95:187-201, 1997.
-
(1997)
Artificial Intelligence
, vol.95
, pp. 187-201
-
-
De Raedt, L.1
-
21
-
-
0028529173
-
First order jk-clausal theories are PAC-learnable
-
L. De Raedt and S. Džeroski. First order jk-clausal theories are PAC-learnable. Artificial Intelligence, 70:375-392, 1994.
-
(1994)
Artificial Intelligence
, vol.70
, pp. 375-392
-
-
De Raedt, L.1
Džeroski, S.2
-
23
-
-
84947905415
-
Inductive constraint logic
-
Klaus P. Jantke, Takeshi Shinohara, and Thomas Zeugmann, editors Springer-Verlag
-
L. De Raedt and W. Van Laer. Inductive constraint logic. In Klaus P. Jantke, Takeshi Shinohara, and Thomas Zeugmann, editors, Proceedings of the Sixth International Workshop on Algorithmic Learning Theory, volume 997 of Lecture Notes in Artificial Intelligence, pages 80-94. Springer-Verlag, 1995.
-
(1995)
Proceedings of the Sixth International Workshop on Algorithmic Learning Theory, Volume 997 of Lecture Notes in Artificial Intelligence
, pp. 80-94
-
-
De Raedt, L.1
Van Laer, W.2
-
25
-
-
19544380530
-
-
PhD thesis, Department of Computer Science, Katholieke Universiteit Leuven
-
L. Dehaspe. Frequent Pattern Discovery in First-Order Logic. PhD thesis, Department of Computer Science, Katholieke Universiteit Leuven, 1998. http://www.cs.kuleuven.ac.be/~ldh/.
-
(1998)
Frequent Pattern Discovery in First-order Logic
-
-
Dehaspe, L.1
-
27
-
-
0010484628
-
Finite element mesh design: An engineering domain for ILP application
-
S. Wrobel, editor Sankt Augustin, Germany Gesellschaft für Mathematik und Datenverarbeitung MBH
-
B. Dolsak, I. Bratko, and A. Jezernik. Finite element mesh design: An engineering domain for ILP application. In S. Wrobel, editor, Proceedings of the Fourth International Workshop on Inductive Logic Programming, volume 237 of GMD-Studien, Sankt Augustin, Germany, 1994. Gesellschaft für Mathematik und Datenverarbeitung MBH.
-
(1994)
Proceedings of the Fourth International Workshop on Inductive Logic Programming, Volume 237 of GMD-studien
-
-
Dolsak, B.1
Bratko, I.2
Jezernik, A.3
-
30
-
-
0032119870
-
13C NMR spectra with inductive logic programming
-
July-August
-
13C NMR spectra with inductive logic programming. Applied Artificial Intelligence, 12(5):363-384, July-August 1998.
-
(1998)
Applied Artificial Intelligence
, vol.12
, Issue.5
, pp. 363-384
-
-
Džeroski, S.1
Schulze-Kremer, S.2
Heidtke, K.R.3
Siems, K.4
Wettschereck, D.5
Blockeel, H.6
-
31
-
-
0343119200
-
Applications of inductive logic programming
-
L. De Raedt, editor IOS Press
-
S. Džeroski and I. Bratko. Applications of inductive logic programming. In L. De Raedt, editor, Advances in inductive logic programming, volume 32 of Frontiers in Artificial Intelligence and Applications, pages 65-81. IOS Press, 1996.
-
(1996)
Advances in Inductive Logic Programming, Volume 32 of Frontiers in Artificial Intelligence and Applications
, pp. 65-81
-
-
Džeroski, S.1
Bratko, I.2
-
32
-
-
0011772719
-
Using the m-estimate in rule induction
-
S. Džeroski, B. Cestnik, and I. Petrovski. Using the m-estimate in rule induction. Journal of Computing and Information Technology, 1(1):37 - 46, 1993.
-
(1993)
Journal of Computing and Information Technology
, vol.1
, Issue.1
, pp. 37-46
-
-
Džeroski, S.1
Cestnik, B.2
Petrovski, I.3
-
33
-
-
84957047124
-
ILP experiments in detecting traffic problems
-
Springer-Verlag, August
-
S. Džeroski, N. Jacobs, M. Molina, and C. Moure. ILP experiments in detecting traffic problems. In Proceedings of the Tenth European Conference on Machine Learning, Lecture Notes in Artificial Intelligence, pages 61-66. Springer-Verlag, August 1998.
-
(1998)
Proceedings of the Tenth European Conference on Machine Learning, Lecture Notes in Artificial Intelligence
, pp. 61-66
-
-
Džeroski, S.1
Jacobs, N.2
Molina, M.3
Moure, C.4
-
34
-
-
84947447144
-
Detecting traffic problems with ILP
-
Springer-Verlag
-
S. Džeroski, N. Jacobs, M. Molina, C. Moure, S. Muggleton, and W. Van Laer. Detecting traffic problems with ILP. In Proceedings of the Eighth International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence. Springer-Verlag, 1998.
-
(1998)
Proceedings of the Eighth International Conference on Inductive Logic Programming, Volume 1446 of Lecture Notes in Artificial Intelligence
-
-
Džeroski, S.1
Jacobs, N.2
Molina, M.3
Moure, C.4
Muggleton, S.5
Van Laer, W.6
-
35
-
-
84949211118
-
Experiments in predicting biodegradability
-
S. Džeroski and P. Flach, editors Springer-Verlag
-
S. Džeroski, H. Blockeel, S. Kramer, B. Kompare, B. Pfahringer, and W. Van Laer. Experiments in predicting biodegradability. In S. Džeroski and P. Flach, editors, Proceedings of the Ninth International Workshop on Inductive Logic Programming, volume 1634 of Lecture Notes in Artificial Intelligence, pages 80-91. Springer-Verlag, 1999.
-
(1999)
Proceedings of the Ninth International Workshop on Inductive Logic Programming, Volume 1634 of Lecture Notes in Artificial Intelligence
, pp. 80-91
-
-
Džeroski, S.1
Blockeel, H.2
Kramer, S.3
Kompare, B.4
Pfahringer, B.5
Van Laer, W.6
-
39
-
-
0004265684
-
Improving the generalization step in learning
-
R.S Michalski, J.G. Carbonell, and T.M. Mitchell, editors Morgan Kaufmann
-
J.G. Ganascia and Y. Kodratoff. Improving the generalization step in learning. In R.S Michalski, J.G. Carbonell, and T.M. Mitchell, editors, Machine Learning: an artificial intelligence approach, volume 2, pages 215-241. Morgan Kaufmann, 1986.
-
(1986)
Machine Learning: An Artificial Intelligence Approach
, vol.2
, pp. 215-241
-
-
Ganascia, J.G.1
Kodratoff, Y.2
-
40
-
-
0017973898
-
An interference matching technique for inducing abstractions
-
F. Hayes-Roth and J. McDermott. An interference matching technique for inducing abstractions. Communications of the ACM, 21:401-410, 1978.
-
(1978)
Communications of the ACM
, vol.21
, pp. 401-410
-
-
Hayes-Roth, F.1
McDermott, J.2
-
42
-
-
0345052053
-
Controlling the complexity of learning in logic through syntactic and task-oriented models
-
S. Muggleton, editor Academic Press
-
J-U. Kietz and S. Wrobel. Controlling the complexity of learning in logic through syntactic and task-oriented models. In S. Muggleton, editor, Inductive logic programming, pages 335-359. Academic Press, 1992.
-
(1992)
Inductive Logic Programming
, pp. 335-359
-
-
Kietz, J.-U.1
Wrobel, S.2
-
43
-
-
0000183134
-
Relating chemical activity to structure: An examination of ILP successes
-
R.D. King, M.J.E. Sternberg, A. Srinivasan, and S.H. Muggleton. Relating chemical activity to structure: an examination of ILP successes. New Generation Computing, 13(3-4):411-434, 1995.
-
(1995)
New Generation Computing
, vol.13
, Issue.3-4
, pp. 411-434
-
-
King, R.D.1
Sternberg, M.J.E.2
Srinivasan, A.3
Muggleton, S.H.4
-
47
-
-
11544280708
-
The AQ15 inductive learning system: An overview and experiments
-
Orsay Université de Paris-Sud
-
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
-
48
-
-
0003046840
-
A theory and methodology of inductive learning
-
R.S Michalski, J.G. Carbonell, and T.M. Mitchell, editors Morgan Kaufmann
-
R.S. Michalski. A theory and methodology of inductive learning. In R.S Michalski, J.G. Carbonell, and T.M. Mitchell, editors, Machine Learning: an artificial intelligence approach, volume 1. Morgan Kaufmann, 1983.
-
(1983)
Machine Learning: An Artificial Intelligence Approach
, vol.1
-
-
Michalski, R.S.1
-
50
-
-
0028429573
-
Inductive logic programming: Theory and methods
-
S. Muggleton and L. De Raedt. Inductive logic programming: Theory and methods. Journal of Logic Programming, 19,20:629-679, 1994.
-
(1994)
Journal of Logic Programming
, vol.19-20
, pp. 629-679
-
-
Muggleton, S.1
De Raedt, L.2
-
52
-
-
0005500957
-
Declarative bias in ILP
-
L. De Raedt, editor IOS Press
-
C. Nédellec, H. Adé, F. Bergadano, and B. Tausend. Declarative bias in ILP. In L. De Raedt, editor, Advances in Inductive Logic Programming, volume 32 of Frontiers in Artificial Intelligence and Applications, pages 82-103. IOS Press, 1996.
-
(1996)
Advances in Inductive Logic Programming, Volume 32 of Frontiers in Artificial Intelligence and Applications
, pp. 82-103
-
-
Nédellec, C.1
Adé, H.2
Bergadano, F.3
Tausend, B.4
-
53
-
-
0004109057
-
-
Springer-Verlag, New York, NY, USA
-
S.-H. Nienhuys-Cheng and R. Wolf. Foundations of inductive logic programming, volume 1228 of Lecture Notes in Computer Science and Lecture Notes in Artificial Intelligence. Springer-Verlag, New York, NY, USA, 1997.
-
(1997)
Foundations of Inductive Logic Programming, Volume 1228 of Lecture Notes in Computer Science and Lecture Notes in Artificial Intelligence
-
-
Nienhuys-Cheng, S.-H.1
Wolf, R.2
-
54
-
-
0001602577
-
A note on inductive generalization
-
B. Meltzer and D. Michie, editors Edinburgh University Press
-
G. Plotkin. A note on inductive generalization. In B. Meltzer and D. Michie, editors, Machine Intelligence, volume 5, pages 153-163. Edinburgh University Press, 1970.
-
(1970)
Machine Intelligence
, vol.5
, pp. 153-163
-
-
Plotkin, G.1
-
57
-
-
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
-
58
-
-
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
-
61
-
-
84947440776
-
Learning first-order acyclic horn programs from entailment
-
David Page, editor Springer
-
C. Reddy and P. Tadepalli. Learning first-order acyclic Horn programs from entailment. In David Page, editor, Proceedings of the Eighth International Conference on Inductive Logic Programming, volume 1446 of LNAI, pages 23-37. Springer, 1998.
-
(1998)
Proceedings of the Eighth International Conference on Inductive Logic Programming, Volume 1446 of LNAI
, pp. 23-37
-
-
Reddy, C.1
Tadepalli, P.2
-
63
-
-
84880685154
-
The predictive toxicology evaluation challenge
-
Morgan Kaufmann
-
A. Srinivasan, R. D. King, S. H. Muggleton, and M. Sternberg. The predictive toxicology evaluation challenge. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence), pages 1-6. Morgan Kaufmann, 1997.
-
(1997)
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence)
, pp. 1-6
-
-
Srinivasan, A.1
King, R.D.2
Muggleton, S.H.3
Sternberg, M.4
-
64
-
-
84949229045
-
An assessment of ILP-assisted models for toxicology and the PTE-3 experiment
-
Springer-Verlag
-
A. Srinivasan, R.D. King, and D.W. Bristol. An assessment of ILP-assisted models for toxicology and the PTE-3 experiment. In Proceedings of the Ninth International Workshop on Inductive Logic Programming, volume 1634 of Lecture Notes in Artificial Intelligence, pages 291-302. Springer-Verlag, 1999.
-
(1999)
Proceedings of the Ninth International Workshop on Inductive Logic Programming, Volume 1634 of Lecture Notes in Artificial Intelligence
, pp. 291-302
-
-
Srinivasan, A.1
King, R.D.2
Bristol, D.W.3
-
65
-
-
0030212927
-
Theories for mutagenicity: A study in first-order and feature-based induction
-
A. Srinivasan, S.H. Muggleton, M.J.E. Sternberg, and R.D. King. Theories for mutagenicity: A study in first-order and feature-based induction. Artificial Intelligence, 85(1,2), 1996.
-
(1996)
Artificial Intelligence
, vol.85
, Issue.1-2
-
-
Srinivasan, A.1
Muggleton, S.H.2
Sternberg, M.J.E.3
King, R.D.4
-
66
-
-
0002592397
-
Pruning and grouping discovered association rules
-
Y. Kodratoff, G. Nakhaeizadeh, and G. Taylor, editors Heraklion, Crete, Greece
-
H. Toivonen, M. Klemettinen, et al. Pruning and grouping discovered association rules. In Y. Kodratoff, G. Nakhaeizadeh, and G. Taylor, editors, Proceedings of the MLnet Familiarization Workshop on Statistics, Machine Learning and Knowledge Discovery in Databases, pages 47-52, Heraklion, Crete, Greece, 1995.
-
(1995)
Proceedings of the MLnet Familiarization Workshop on Statistics, Machine Learning and Knowledge Discovery in Databases
, pp. 47-52
-
-
Toivonen, H.1
Klemettinen, M.2
-
67
-
-
0021518106
-
A theory of the learnable
-
L. Valiant. A theory of the learnable. Communications of the ACM, 27:1134-1142, 1984.
-
(1984)
Communications of the ACM
, vol.27
, pp. 1134-1142
-
-
Valiant, L.1
-
68
-
-
0032024074
-
Completeness and properness of refinement operators in inductive logic programming
-
Patrick R. J. van der Laag and Shan-Hwei Nienhuys-Cheng. Completeness and properness of refinement operators in inductive logic programming. Journal of Logic Programming, 34(3):201-225, 1998.
-
(1998)
Journal of Logic Programming
, vol.34
, Issue.3
, pp. 201-225
-
-
Van Der Laag Patrick, R.J.1
Nienhuys-Cheng, S.-H.2
-
69
-
-
84947803898
-
On multi-class problems and discretization in inductive logic programming
-
Zbigniew W. Ras and Andrzej Skowron, editors Springer-Verlag
-
W. Van Laer, L. De Raedt, and S. Džeroski. On multi-class problems and discretization in inductive logic programming. In Zbigniew W. Ras and Andrzej Skowron, editors, Proceedings of the Tenth International Symposium on Methodologies for Intelligent Systems, volume 1325 of Lecture Notes in Artificial Intelligence, pages 277-286. Springer-Verlag, 1997.
-
(1997)
Proceedings of the Tenth International Symposium on Methodologies for Intelligent Systems, Volume 1325 of Lecture Notes in Artificial Intelligence
, pp. 277-286
-
-
Van Laer, W.1
De Raedt, L.2
Džeroski, S.3
-
72
-
-
0004287725
-
Ogust: A system that learns using domain properties expressed as theorems
-
Y. Kodratoff and R.S. Michalski, editors Morgan Kaufmann
-
C. Vrain. Ogust: A system that learns using domain properties expressed as theorems. In Y. Kodratoff and R.S. Michalski, editors, Machine Learning: an artificial intelligence approach, volume 3, pages 360-381. Morgan Kaufmann, 1990.
-
(1990)
Machine Learning: An Artificial Intelligence Approach
, vol.3
, pp. 360-381
-
-
Vrain, C.1
-
73
-
-
0000027741
-
Learning structural descriptions from examples
-
P.H. Winston, editor The MIT Press
-
P.H. Winston. Learning structural descriptions from examples. In P.H. Winston, editor, Psychology of Computer Vision. The MIT Press, 1975.
-
(1975)
Psychology of Computer Vision
-
-
Winston, P.H.1
|