Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11770)
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 2019.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 papers)
-
Front Matter
-
Back Matter
About this book
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.
Editors and Affiliations
-
Department of Computer Science, University of York, Heslington, UK
Dimitar Kazakov, Can Erten
Bibliographic Information
Book Title: Inductive Logic Programming
Book Subtitle: 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019, Proceedings
Editors: Dimitar Kazakov, Can Erten
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-49210-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-49209-0Published: 03 June 2020
eBook ISBN: 978-3-030-49210-6Published: 05 June 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 145
Number of Illustrations: 106 b/w illustrations, 19 illustrations in colour
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, Logics and Meanings of Programs, Programming Languages, Compilers, Interpreters, Computer Applications, Information Systems and Communication Service