Learning and classification of monotonic ordinal concepts
Computational Intelligence
Boolean Feature Discovery in Empirical Learning
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
A theory and methodology of inductive learning
Readings in knowledge acquisition and learning
Variable precision rough set model
Journal of Computer and System Sciences
Advances in the Dempster-Shafer theory of evidence
A new version of the rule induction system LERS
Fundamenta Informaticae
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Separate-and-Conquer Rule Learning
Artificial Intelligence Review
A simple, fast, and effective rule learner
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Machine Learning
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
Rule Induction with CN2: Some Recent Improvements
EWSL '91 Proceedings of the European Working Session on Machine Learning
ECML '93 Proceedings of the European Conference on Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Boolean Reasoning for Decision Rules Generation
ISMIS '93 Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems
Variable Consistency Model of Dominance-Based Rough Sets Approach
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A statistical approach to rule learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Parameterized rough set model using rough membership and Bayesian confirmation measures
International Journal of Approximate Reasoning
Probabilistic rough set approximations
International Journal of Approximate Reasoning
Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization
Multiobjective Optimization
Adding monotonicity to learning algorithms may impair their accuracy
Expert Systems with Applications: An International Journal
Machine Learning and Data Mining: Introduction to Principles and Algorithms
Machine Learning and Data Mining: Introduction to Principles and Algorithms
Monotonic Variable Consistency Rough Set Approaches
International Journal of Approximate Reasoning
Rough Sets and Functional Dependencies in Data: Foundations of Association Reducts
Transactions on Computational Science V
The investigation of the Bayesian rough set model
International Journal of Approximate Reasoning
Decision-theoretic rough set models
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Monotonic variable consistency rough set approaches
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Bayesian decision theory for dominance-based rough set approach
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Stochastic approach to rough set theory
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Rough membership and bayesian confirmation measures for parameterized rough sets
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Ordinal classification with monotonicity constraints by variable consistency bagging
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Probabilistic rough set approaches to ordinal classification with monotonicity constraints
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Discernibility-matrix method based on the hybrid of equivalence and dominance relations
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Rule-based estimation of attribute relevance
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Partitions, coverings, reducts and rule learning in rough set theory
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Case-based reasoning using dominance-based decision rules
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Inductive discovery of laws using monotonic rules
Engineering Applications of Artificial Intelligence
Strengthening learning algorithms by feature discovery
Information Sciences: an International Journal
Dominance-based rough set model in intuitionistic fuzzy information systems
Knowledge-Based Systems
A parallel method for computing rough set approximations
Information Sciences: an International Journal
Rule-Based approach to computational stylistics
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
Extended rough set-based attribute reduction in inconsistent incomplete decision systems
Information Sciences: an International Journal
Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system
Information Sciences: an International Journal
Properties of rule interestingness measures and alternative approaches to normalization of measures
Information Sciences: an International Journal
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Dynamic Programming Approach for Partial Decision Rule Optimization
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Dynamic programming approach to optimization of approximate decision rules
Information Sciences: an International Journal
Putting Dominance-based Rough Set Approach and robust ordinal regression together
Decision Support Systems
A novel method for attribute reduction of covering decision systems
Information Sciences: an International Journal
The concept of reducts in pawlak three-step rough set analysis
Transactions on Rough Sets XVI
Classifiers Based on Optimal Decision Rules
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Relationships Between Length and Coverage of Decision Rules
Fundamenta Informaticae - Dedicated to the Memory of Professor Manfred Kudlek
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We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used for both ordered and non-ordered data. In the case of ordered data, the rough set model employs dominance relation, and in the case of non-ordered data, it employs indiscernibility relation. VC-DomLEM generates a minimal set of decision rules. These rules are characterized by a satisfactory value of the chosen consistency measure. We analyze properties of induced decision rules, and discuss conditions of correct rule induction. Moreover, we show how to improve rule induction efficiency due to application of consistency measures with desirable monotonicity properties.