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Rule induction
Known as:
Rule extraction
, Rule learning
Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The rules extracted may represent a…
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Related topics
Related topics
8 relations
CN2 algorithm
Case-based reasoning
Horn clause
Multicriteria classification
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Broader (2)
Inductive reasoning
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Attribute reduction in ordered information systems based on evidence theory
Wei-Hua Xu
,
Xiao-yan Zhang
,
Jian-min Zhong
,
Wenxiu Zhang
Knowledge and Information Systems
2010
Corpus ID: 16943264
Attribute reduction is one of the most important problems in rough set theory. However, in real-world lots of information systems…
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Highly Cited
2007
Highly Cited
2007
A hybrid neural network model for rule generation and its application to process fault detection and diagnosis
Shing Chiang Tan
,
C. Lim
,
M. Rao
Engineering applications of artificial…
2007
Corpus ID: 9371518
Highly Cited
2006
Highly Cited
2006
A GAs based approach for mining breast cancer pattern
Ta-Cheng Chen
,
Tung-Chou Hsu
Expert systems with applications
2006
Corpus ID: 7906985
Highly Cited
2006
Highly Cited
2006
Improving rule sorting, predictive accuracy and training time in associative classification
F. Thabtah
,
P. Cowling
,
Suhel Hammoud
Expert systems with applications
2006
Corpus ID: 11700581
Highly Cited
2005
Highly Cited
2005
Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database
K. Shimada
,
K. Hirasawa
,
Jinglu Hu
International Conference on Computational…
2005
Corpus ID: 8516559
A method of association rule mining using genetic network programming (GNP) is proposed to improve the performance of association…
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2002
2002
Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data
F. Behloul
,
B. Lelieveldt
,
A. Boudraa
,
J. Reiber
Pattern Recognition
2002
Corpus ID: 38952593
Highly Cited
1999
Highly Cited
1999
Knowledge extraction from radial basis function networks and multilayer perceptrons
K. McGarry
,
Stefan Wermter
,
J. MacIntyre
IJCNN'99. International Joint Conference on…
1999
Corpus ID: 16137563
This paper deals with an evaluation and comparison of the accuracy and complexity of symbolic rules extracted from radial basis…
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Highly Cited
1998
Highly Cited
1998
Fuzzy clustering with evolutionary algorithms
F. Klawonn
,
A. Keller
International Journal of Intelligent Systems
1998
Corpus ID: 14410397
Objective function‐based fuzzy clustering aims at finding a fuzzy partition by optimizing a function that evaluates a (fuzzy…
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Highly Cited
1993
Highly Cited
1993
Optimized rule induction
S. Weiss
,
N. Indurkhya
IEEE Expert
1993
Corpus ID: 829409
Swap-1, a state-of-the-art system for learning decision rules from data, is presented. The method embodied in Swap-1 generates…
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Highly Cited
1991
Highly Cited
1991
Fuzzy rule extraction from a multilayered neural network
I. Enbutsu
,
K. Baba
,
Naoki Hara
IJCNN-91-Seattle International Joint Conference…
1991
Corpus ID: 62165604
A fuzzy rule extraction method from a multilayered neural network is proposed to realize the multiplicative merits of neural and…
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