Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Knowledge in context: a strategy for expert system maintenance
AI '88 Proceedings of the second Australian joint conference on Artificial intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Induction of ripple-down rules applied to modeling large databases
Journal of Intelligent Information Systems
Multi-level organization and summarization of the discovered rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: concepts and techniques
Data mining: concepts and techniques
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Machine Learning
Machine Learning and Data Mining; Methods and Applications
Machine Learning and Data Mining; Methods and Applications
Relational decomposition through partial functional dependencies
Data & Knowledge Engineering
Unified Algorithm for Undirected Discovery of Execption Rules
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
A Rough Set Framework for Data Mining of Propositional Default Rules
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
Rule+Exception Modeling Based on Rough Set Theory
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Intuitive Representation of Decision Trees Using General Rules and Exceptions
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Exploiting Knowledge Representation in an Intelligent Tutoring System for English Lexical Errors
ICCE '02 Proceedings of the International Conference on Computers in Education
Peculiarity Oriented Multidatabase Mining
IEEE Transactions on Knowledge and Data Engineering
Multilevel data summarization from information systems: a "rule + exception" approach
AI Communications - Special issue on Artificial intelligence advances in China
ART: A Hybrid Classification Model
Machine Learning
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
A softened formulation of inductive learning and its use for coronary disease data
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Rule + Exception Strategies for Security Information Analysis
IEEE Intelligent Systems
A new method for inconsistent multicriteria classification
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Axiomatic systems of generalized rough sets
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
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A common practice of human learning and knowledge management is to use general rules, exception rules, and exceptions to rules. One of the crucial issues is to find a right mixture of them. For discovering this type of knowledge, we consider “rule + exception”, or rule-plus-exception, strategies. Results from psychology, expert systems, genetic algorithms, and machine learning and data mining are summarized and compared, and their implications to knowledge management and discovery are examined. The study motivates and establishes a basis for the design and implementation of new algorithms for the discovery of “rule + exception” type knowledge.