Inductive Logic Programming 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers /
Inductive Logic Programming 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers / [electronic resource] :
edited by Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto.
- 1st ed. 2016.
- X, 215 p. 56 illus. online resource.
- Lecture Notes in Artificial Intelligence, 9575 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 9575 .
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.
9783319405667
10.1007/978-3-319-40566-7 doi
Machine theory.
Artificial intelligence.
Computer programming.
Computer science.
Data mining.
Formal Languages and Automata Theory.
Artificial Intelligence.
Programming Techniques.
Computer Science Logic and Foundations of Programming.
Data Mining and Knowledge Discovery.
QA267-268.5
005.131
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.
9783319405667
10.1007/978-3-319-40566-7 doi
Machine theory.
Artificial intelligence.
Computer programming.
Computer science.
Data mining.
Formal Languages and Automata Theory.
Artificial Intelligence.
Programming Techniques.
Computer Science Logic and Foundations of Programming.
Data Mining and Knowledge Discovery.
QA267-268.5
005.131