Machine Learning

, Volume 5, Issue 3, pp 239–266

Learning logical definitions from relations

Authors

  • J. R. Quinlan
    • Basser Department of Computer ScienceUniversity of Sydney
Article

DOI: 10.1007/BF00117105

Cite this article as:
Quinlan, J.R. Mach Learn (1990) 5: 239. doi:10.1007/BF00117105

Abstract

This paper describesfoil, a system that learns Horn clauses from data expressed as relations.foil is based on ideas that have proved effective in attribute-value learning systems, but extends them to a first-order formalism. This new system has been applied successfully to several tasks taken from the machine learning literature.

Keywords

Inductionfirst-order rulesrelational dataempirical learning
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Copyright information

© Kluwer Academic Publishers 1990