A database perspective on knowledge discovery
Communications of the ACM
Theories for mutagenicity: a study in first-order and feature-based induction
Artificial Intelligence - Special volume on empirical methods
Machine Learning - special issue on inductive logic programming
Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Robust classification systems for imprecise environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Scalable data mining with model constraints
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
An extended transformation approach to inductive logic programming
ACM Transactions on Computational Logic (TOCL) - Special issue devoted to Robert A. Kowalski
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Inductive logic programming for knowedge discovery in databases
Relational Data Mining
Three companions for data mining in first order logic
Relational Data Mining
Propositionalization approaches to relational data mining
Relational Data Mining
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Machine Learning
Using Rule Sets to Maximize ROC Performance
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Predictive Performance of Weghted Relative Accuracy
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
A Learning System for Decision Support in Telecommunications
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract)
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Rule Evaluation Measures: A Unifying View
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
IBC: A First-Order Bayesian Classifier
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Adapting classification rule induction to subgroup discovery
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
Expert-guided subgroup discovery: methodology and application
Journal of Artificial Intelligence Research
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This paper investigates local patterns in the multi-relational constraint-based data mining framework. Given this framework, it contributes to the theory of local patterns by providing the definition of local patterns, and a set of objective and subjective measures for evaluating the quality of induced patterns. These notions are illustrated on a description task of subgroup discovery, taking a propositionalization approach to relational subgroup discovery (RSD), based on adapting rule learning and first-order feature construction, applicable in individual-centered domains. It focuses on the use of constraints in RSD, both in feature construction and rule learning. We apply the proposed RSD approach to the Mutagenesis benchmark known from relational learning and a real-life telecommunications dataset.