Inductive Logic Programming: Techniques and Applications
This book is an introduction to inductive logic programming (ILP), a
research field at the intersection of machine learning and logic
programming, which aims at a formal framework as well as practical
algorithms for inductively learning relational descriptions in the form
of logic programs. The book covers empirical inductive logic
programming, one of the two major subfields of ILP, which has shown its
application potential in the following areas: knowledge acquisition,
inductive program synthesis, inductive data engineering, and knowledge
discovery in databases. The book is intended for knowledge engineers
concerned with the automatic synthesis of knowledge bases for expert
systems, software engineers who could profit from inductive programming
tools, researchers in system development and database methodology,
interested in techniques for knowledge discovery in databases and
inductive data engineering, and researchers and graduates in artificial
intelligence, machine learning, logic programming, software engineering
and database methodology
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