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This book constitutes the refereed conference proceedings of the
29th International Conference on Inductive Logic Programming, ILP
2019, held in Plovdiv, Bulgaria, in September 2019. The 11 papers
presented were carefully reviewed and selected from numerous
submissions. Inductive Logic Programming (ILP) is a subfield of
machine learning, which originally relied on logic programming as a
uniform representation language for expressing examples, background
knowledge and hypotheses. Due to its strong representation
formalism, based on first-order logic, ILP provides an excellent
means for multi-relational learning and data mining, and more
generally for learning from structured data.
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