Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9575)
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 2015.
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Table of contents (14 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 25th International Conference on Inductive Logic Programming, ILP 2015, held in Kyoto, Japan, in August 2015.
The 14 revised papers presented were carefully reviewed and selected from 44 submissions. The papers focus on topics such as theories, algorithms, representations and languages, systems and applications of ILP, and cover all areas of learning in logic, relational learning, relational data mining, statistical relational learning, multi-relational data mining, relational reinforcement learning, graph mining, connections with other learning paradigms, among others.
Editors and Affiliations
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National Institute of Informatics, Tokyo, Japan
Katsumi Inoue
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Tokyo University of Science, Noda, Japan
Hayato Ohwada
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Kyoto University, Kyoto, Japan
Akihiro Yamamoto
Bibliographic Information
Book Title: Inductive Logic Programming
Book Subtitle: 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers
Editors: Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-40566-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-40565-0Published: 12 June 2016
eBook ISBN: 978-3-319-40566-7Published: 25 June 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 215
Number of Illustrations: 56 b/w illustrations
Topics: Mathematical Logic and Formal Languages, Artificial Intelligence, Programming Techniques, Logics and Meanings of Programs, Data Mining and Knowledge Discovery