Logics in Artiﬁcial Intelligence
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Situated at the intersection of machine learning and logic programming, inductive logic programming (ILP) has been concerned with ﬁnding patterns expressed as logic programs. While ILP initially focussed on automated program synthesis from examples, it has recently expanded its scope to cover a whole range of data analysis tasks (classiﬁcation, regression, clustering, association analysis). ILP algorithms can this be used to ﬁnd patterns in relational data, i.e., for relational data mining (RDM). This paper brieﬂy introduces the basic concepts of ILP and RDM and discusses some recent research trends in these areas.