Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10759)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ILP: International Conference on Inductive Logic Programming
Conference proceedings info: ILP 2017.
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Table of contents (12 papers)
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Front Matter
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Back Matter
About this book
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.
Keywords
Editors and Affiliations
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University of Strasbourg, Strasbourg, France
Nicolas Lachiche
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University of Orléans, Orléans, France
Christel Vrain
Bibliographic Information
Book Title: Inductive Logic Programming
Book Subtitle: 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers
Editors: Nicolas Lachiche, Christel Vrain
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-78090-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-78089-4Published: 15 March 2018
eBook ISBN: 978-3-319-78090-0Published: 19 March 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 185
Number of Illustrations: 94 b/w illustrations, 7 illustrations in colour
Topics: Mathematical Logic and Formal Languages, Artificial Intelligence, Programming Languages, Compilers, Interpreters, Logics and Meanings of Programs, Programming Techniques