Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
C4.5: programs for machine learning
C4.5: programs for machine learning
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
Inductive logic programming and knowledge discovery in databases
Advances in knowledge discovery and data mining
Top-down induction of first-order logical decision trees
Artificial Intelligence
Algorithmic Program DeBugging
Relational Data Mining
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Learning Logical Definitions from Relations
Machine Learning
Top-Down Induction of Clustering Trees
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Relational Distance-Based Clustering
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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Inductive logic programming (ILP) is concerned with the development of tools for multirelational data mining. Besides the ability to deal directly with data stored in multiple tables, ILP systems are usually able to take into account generally valid background (domain) knowledge in the form of a logic program. They also use the powerful language of logic programs for describing discovered patterns. This article gives a brief introduction to the basic notions of ILP, presents some of the main ILP approaches, and points out some successful applications of ILP methods.