Inductive Logic Programming [electronic resource] : 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers / edited by Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto.

Contributor(s): Inoue, Katsumi [editor.] | Ohwada, Hayato [editor.] | Yamamoto, Akihiro [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 9575 | Lecture Notes in Computer Science ; 9575Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: X, 215 p. 56 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319405667Subject(s): Mathematical logic | Artificial intelligence | Computer programming | Computer logic | Data mining | Mathematical Logic and Formal Languages | Artificial Intelligence | Programming Techniques | Logics and Meanings of Programs | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.131 LOC classification: QA8.9-10.3Online resources: Click here to access online In: Springer Nature eBookSummary: 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.
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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.

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