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Inductive Logic Programming

27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers

Nicolas Lachiche

Christel Vrain

Language

English

Book Paperback

Libristo code: 19012782

Publishers Springer International Publishing AG, March 2018

This book constitutes the thoroughly refereed post-conference proceedings of the 27th International... Full description

Libristo code: 19012782

136 b

19 922 Ft

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This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017. The 12 full 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.