Learning in relational databases: an attribute-oriented approach
Computational Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Elements of machine learning
BRACID: a comprehensive approach to learning rules from imbalanced data
Journal of Intelligent Information Systems
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Classification rules, characteristic rules, and association rules are presented. Their evaluation criteria are discussed, as well as rule applications, strengths, limitations, and relations to other forms of knowledge.