Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10339)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ICCBR 2017.
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Table of contents (29 papers)
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Regular Papers
Other volumes
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Case-Based Reasoning Research and Development
Keywords
- Artificial intelligence
- Knowledge based systems
- Case based reasoning
- Cbr
- Information retrieval
- Recommender systems
- Semantics
- Collaborative filtering
- Learning systems
- User interfaces
- case-based maintenance
- distributed AI
- face recognition
- machine learning
- recommender systems
- retrieval models and ranking
- similarity measures
- time series analysis
About this book
The 27 full papers presented together with 3 keynote presentations were carefully reviewed and selected from 38 submissions. The theme of ICCBR-2017, "Analogy for Reuse", was highlighted in several events.
These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning, analogical reasoning, CBR and Deep Learning, CBR in the Health Sciences, Computational Analogy, and Process-Oriented CBR.
Editors and Affiliations
Bibliographic Information
Book Title: Case-Based Reasoning Research and Development
Book Subtitle: 25th International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017, Proceedings
Editors: David W. Aha, Jean Lieber
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-61030-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-61029-0Published: 22 June 2017
eBook ISBN: 978-3-319-61030-6Published: 19 June 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 436
Number of Illustrations: 133 b/w illustrations
Topics: Artificial Intelligence, Computer Applications, Data Mining and Knowledge Discovery, Information Storage and Retrieval