Overview of Inductive Logic Programming (ILP) Systems
Svetla Boytcheva
Department of Information Technologies, Faculty of Mathematics and Informatics,
Sofia University, Bulgaria
Abstract: The current paper presents a brief overview of Inductive Logic Programming (ILP) systems. ILP algorithms are of special interest for machine learning, because most of them offer practical methods for extending the presentations used in algorithms that solve supervised learning tasks. The paper presents major approaches for solving supervised learning task, summarizes their features and classifies systems according different dimensions.
Keywords: Inductive logic programming, supervised Learning, Relational Learning.