Inductive logic programming is a form of machine learning from examples which employs the representation formalism of clausal logic. The chapter gives an accessible introduction to the main issues in inductive logic programming. In addition, it outlines the main current research directions which have been strongly influenced by recent developments in data mining and challenging real-life applications.
|Translated title of the contribution||Learning in Clausal Logic: A Perspective on Inductive Logic Programming|
|Title of host publication||Computational Logic: Logic Programming and Beyond (Essays in Honour of Robert A. Kowalski)|
|Publication status||Published - 2002|
Bibliographical noteOther page information: 437-471
Other identifier: 1000649