Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
Fast discovery of association rules
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Mining frequent patterns without candidate generation
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Fuzzy Modelling: Paradigms and Practices
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Genetic Algorithms in Search, Optimization and Machine Learning
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Data Mining Using Grammar-Based Genetic Programming and Applications
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Multi-Objective Optimization Using Evolutionary Algorithms
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Detecting Group Differences: Mining Contrast Sets
Data Mining and Knowledge Discovery
Machine Learning
Classification Rule Learning with APRIORI-C
EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Rule Evaluation Measures: A Unifying View
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
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The Journal of Machine Learning Research
Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (Advanced Information Processing)
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Propositionalization-based relational subgroup discovery with RSD
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Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
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Preface: Special Issue on Genetic Fuzzy Systems and the Interpretability--Accuracy Trade-off
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Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
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International Journal of Intelligent Systems
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Journal of Intelligent Information Systems
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CSM-SD: Methodology for contrast set mining through subgroup discovery
Journal of Biomedical Informatics
An improved approach to find membership functions and multiple minimum supports in fuzzy data mining
Expert Systems with Applications: An International Journal
Soft Computing - A Fusion of Foundations, Methodologies and Applications
The Journal of Machine Learning Research
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Fuzzy Sets and Systems
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ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
GA-fuzzy modeling and classification: complexity and performance
IEEE Transactions on Fuzzy Systems
Fuzzy-XCS: A Michigan Genetic Fuzzy System
IEEE Transactions on Fuzzy Systems
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing
IEEE Transactions on Fuzzy Systems
Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section
IEEE Transactions on Fuzzy Systems
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
A multi-objective evolutionary approach for subgroup discovery
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
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Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Discovering subgroups by means of genetic programming
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
A multiobjective evolutionary programming framework for graph-based data mining
Information Sciences: an International Journal
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A non-dominated multiobjective evolutionary algorithm for extracting fuzzy rules in subgroup discovery (NMEEFSD) is described and analyzed in this paper. This algorithm, which is based on the hybridization between fuzzy logic and genetic algorithms, deals with subgroup-discovery problems in order to extract novel and interpretable fuzzy rules of interest, and the evolutionary fuzzy system NMEEF-SD is based on the well-known Nondominated Sorting Genetic Algorithm II (NSGA-II) model but is oriented toward the subgroup-discovery task using specific operators to promote the extraction of interpretable and high-quality subgroup-discovery rules. The proposal includes different mechanisms to improve diversity in the population and permits the use of different combinations of quality measures in the evolutionary process. An elaborate experimental study, which was reinforced by the use of nonparametric tests, was performed to verify the validity of the proposal, and the proposal was compared with other subgroup discovery methods. The results show that NMEEF-SD obtains the best results among several algorithms studied.