-
2
-
-
0036833540
-
Relational decomposition through partial funcational dependencies
-
Berzal, F., Cubero, J.C., Cuenca, F. and Medina, J.M. Relational decomposition through partial funcational dependencies, Data and Knowledge Engineering, 43, 207-234, 2002.
-
(2002)
Data and Knowledge Engineering
, vol.43
, pp. 207-234
-
-
Berzal, F.1
Cubero, J.C.2
Cuenca, F.3
Medina, J.M.4
-
3
-
-
0942277347
-
ART: A hybrid classification model
-
Berzal, F., Cubero, J.C., Sánchez, D., and Serrano, J.M. ART: a hybrid classification model, Machine Learning, 54, 67-92, 2004.
-
(2004)
Machine Learning
, vol.54
, pp. 67-92
-
-
Berzal, F.1
Cubero, J.C.2
Sánchez, D.3
Serrano, J.M.4
-
6
-
-
0002550403
-
The trade-off between knowledge and data in knowledge acquisition
-
Piatetsky-Shapiro, G. and Frawley, W.J. (Eds.), AAAI/MIT Press, Menlo Park, California
-
Gaines, B.R. The trade-off between knowledge and data in knowledge acquisition, in: Knowledge Discovery in Databases, Piatetsky-Shapiro, G. and Frawley, W.J. (Eds.), AAAI/MIT Press, Menlo Park, California, 491-506, 1991.
-
(1991)
Knowledge Discovery in Databases
, pp. 491-506
-
-
Gaines, B.R.1
-
7
-
-
0029403698
-
Induction of ripple-down rules applied to modeling large databases
-
Gaines, B.R. and Compton, P. Induction of ripple-down rules applied to modeling large databases, Journal of Intelligent Information Systems, 5, 211-228, 1995.
-
(1995)
Journal of Intelligent Information Systems
, vol.5
, pp. 211-228
-
-
Gaines, B.R.1
Compton, P.2
-
8
-
-
0003722376
-
-
Addison-Wesley, Reading, Massachusetts
-
Goldberg, D.E. Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, Massachusetts, 1989.
-
(1989)
Genetic Algorithms in Search, Optimization, and Machine Learning
-
-
Goldberg, D.E.1
-
10
-
-
0003707420
-
-
The MIT Press, Cambridge, Massachusetts
-
Holland, J.H., Holyoak, K.J., Nisbett, R.E. and Thagard, P.R. Induction: Processes of Inference, Learning, and Discovery, The MIT Press, Cambridge, Massachusetts, 1986.
-
(1986)
Induction: Processes of Inference, Learning, and Discovery
-
-
Holland, J.H.1
Holyoak, K.J.2
Nisbett, R.E.3
Thagard, P.R.4
-
11
-
-
33645973848
-
Exploiting knowledge representation in an intelligent tutoring system for English lexical errors
-
Hsieh, C.C., Tsai, T.H., Wible, D. and Hsu, W.L. Exploiting knowledge representation in an intelligent tutoring system for English lexical errors, International Conference on Computers in Education (ICCE'02), 115-116, 2002.
-
(2002)
International Conference on Computers in Education (ICCE'02)
, pp. 115-116
-
-
Hsieh, C.C.1
Tsai, T.H.2
Wible, D.3
Hsu, W.L.4
-
12
-
-
26944488683
-
A softened formulation of inductive learning and its use for coronary disease data
-
LNAI 3488
-
Kacprzyk, J. and Szkatula, G. A softened formulation of inductive learning and its use for coronary disease data, Fondations of Intelligent System, 15th International Symposium, LNAI 3488, 200-209, 2005.
-
(2005)
Fondations of Intelligent System, 15th International Symposium
, pp. 200-209
-
-
Kacprzyk, J.1
Szkatula, G.2
-
13
-
-
85170286889
-
A unified notion of outliers: Properties and computation
-
Knorr, E.M. and Ng, R.T. A unified notion of outliers: properties and computation, Proceedings of KDD'97, 219-222, 1997.
-
(1997)
Proceedings of KDD'97
, pp. 219-222
-
-
Knorr, E.M.1
Ng, R.T.2
-
14
-
-
84925740795
-
Subgroup discovery with CN2-SD
-
Lavrač, N., Kavšek, B., Flach, P. and Todorovski, L. Subgroup discovery with CN2-SD, Journal of Machine Learning Research, 5, 153-188, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 153-188
-
-
Lavrač, N.1
Kavšek, B.2
Flach, P.3
Todorovski, L.4
-
16
-
-
84896481519
-
Intuitive representation of decision trees using general rules and exceptions
-
Liu, B., Hu, M. and Hsu, W. Intuitive representation of decision trees using general rules and exceptions, Proceedings of AAAI-2000, 615-620, 2000.
-
(2000)
Proceedings of AAAI-2000
, pp. 615-620
-
-
Liu, B.1
Hu, M.2
Hsu, W.3
-
17
-
-
33646009633
-
Multi-level organization and summarization of the discovered rules
-
Liu, B., Hu, M. and Hsu, W. Multi-level organization and summarization of the discovered rules, Proceedings of SIGKDD-2002, 20-23, 2002.
-
(2002)
Proceedings of SIGKDD-2002
, pp. 20-23
-
-
Liu, B.1
Hu, M.2
Hsu, W.3
-
18
-
-
0003437980
-
-
Michalski, R.S., Bratko, I. and Kubat, M. (Eds.), Wiley, New York
-
Michalski, R.S., Bratko, I. and Kubat, M. (Eds.) Machine Learning and Data Mining: Methods and Applications, Wiley, New York, 1998.
-
(1998)
Machine Learning and Data Mining: Methods and Applications
-
-
-
20
-
-
84949747271
-
A rough set frameworkf for data mining of prepositional default rules
-
LNAI 1079
-
Mollestad, T. and Skowron, A. A rough set frameworkf for data mining of prepositional default rules, Foundations of Intelligent Systems, 9th International Symposium, ISMIS'96, LNAI 1079, 448-457, 1996.
-
(1996)
Foundations of Intelligent Systems, 9th International Symposium, ISMIS'96
, pp. 448-457
-
-
Mollestad, T.1
Skowron, A.2
-
21
-
-
0028044369
-
Rule-plus-exception model of classification learning
-
Nosofsky, R.M., Palmeri, T.J. and McKiley, S.C. Rule-plus-exception model of classification learning, Psychological Review, 101, 53-79, 1994.
-
(1994)
Psychological Review
, vol.101
, pp. 53-79
-
-
Nosofsky, R.M.1
Palmeri, T.J.2
McKiley, S.C.3
-
22
-
-
2442719329
-
Defaults, context, and knowledge: Alternatives for OWL-indexed knowledge bases
-
Rector, A. Defaults, context, and knowledge: alternatives for OWL-indexed knowledge bases, Pacific Symposium on Biocomputing 2004, 226-237, 2004.
-
(2004)
Pacific Symposium on Biocomputing 2004
, pp. 226-237
-
-
Rector, A.1
-
23
-
-
49149147322
-
A logic for default reasoning
-
Reiter, R. A logic for default reasoning, Artificial Intelligence, 13, 81-132, 1980.
-
(1980)
Artificial Intelligence
, vol.13
, pp. 81-132
-
-
Reiter, R.1
-
25
-
-
84964943935
-
Autonomous discovery of reliable exception rules
-
Suzuki, E. Autonomous discovery of reliable exception rules, Proceedings of KDD'97, 259-262, 1997.
-
(1997)
Proceedings of KDD'97
, pp. 259-262
-
-
Suzuki, E.1
-
26
-
-
84974683992
-
Unified algorithm for undirected discovery of exception rules
-
Suzuki, E. and Żytkow, J.M. Unified algorithm for undirected discovery of exception rules, Proceedings of PKDD-2000, 169-180, 2000.
-
(2000)
Proceedings of PKDD-2000
, pp. 169-180
-
-
Suzuki, E.1
Zytkow, J.M.2
-
27
-
-
0038369056
-
Multilevel data summarization from information system: A "rule + exception" approach
-
Wang, J., Zhao, M., Zhao, K. and Han S. Multilevel data summarization from information system: a "rule + exception" approach, AI Communications, 16, 17-39, 2003.
-
(2003)
AI Communications
, vol.16
, pp. 17-39
-
-
Wang, J.1
Zhao, M.2
Zhao, K.3
Han, S.4
-
28
-
-
0242385745
-
Ming high order decision rules
-
Inuiguchi, M., Hirano, S. and Tsumoto, S. (Eds.), Springer, Berlin
-
Yao, Y.Y. Ming high order decision rules, in: Rough Set Theory and Granular Computing, Inuiguchi, M., Hirano, S. and Tsumoto, S. (Eds.), Springer, Berlin, 125-135, 2003.
-
(2003)
Rough Set Theory and Granular Computing
, pp. 125-135
-
-
Yao, Y.Y.1
-
30
-
-
0041347740
-
Peculiarity oriented multidatabase mining
-
Zhong, N., Yao, Y.Y. and Ohshima, M. Peculiarity oriented multidatabase mining, IEEE Transactions on Knowledge and Data Engineering, 15, 952-960, 2003.
-
(2003)
IEEE Transactions on Knowledge and Data Engineering
, vol.15
, pp. 952-960
-
-
Zhong, N.1
Yao, Y.Y.2
Ohshima, M.3
|