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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 algorithmCase-based reasoningHorn clauseMulticriteria classification

Broader (2)

Inductive reasoningMachine 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
Attribute reduction is one of the most important problems in rough set theory. However, in real-world lots of information systems… 
2008
2008
Robust and Efficient Rule Extraction Through Data Summarization and Its Application in Welding Fault Diagnosis
This paper presents a robust and efficient method to discover knowledge for classification problems through data summarization… 
Highly Cited
2006
Highly Cited
2006
Improving rule sorting, predictive accuracy and training time in associative classification
2006
2006
Classifier hierarchy learning by means of genetic algorithms
Highly Cited
2005
Highly Cited
2005
Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database
A method of association rule mining using genetic network programming (GNP) is proposed to improve the performance of association… 
2005
2005
Symbolic classification, clustering and fuzzy radial basis function network
2004
2004
Essential classification rule sets
Given a class model built from a dataset including labeled data, classification assigns a new data object to the appropriate… 
Highly Cited
1999
Highly Cited
1999
Knowledge extraction from radial basis function networks and multilayer perceptrons
This paper deals with an evaluation and comparison of the accuracy and complexity of symbolic rules extracted from radial basis… 
1997
1997
Evaluation and ordering of rules extracted from feedforward networks
Rules extracted from trained feedforward networks can be used for explanation, validation, and cross-referencing of network… 
Highly Cited
1991
Highly Cited
1991
Fuzzy rule extraction from a multilayered neural network
A fuzzy rule extraction method from a multilayered neural network is proposed to realize the multiplicative merits of neural and… 
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