Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11680)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ICCBR 2019.
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Table of contents (26 papers)
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Case-Based Reasoning Research and Development
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About this book
This book constitutes the refereed proceedings of the 27th International Conference on Case-Based Reasoning Research and Development, ICCBR 2019, held in Otzenhausen, Germany, in September 2019.
The 26 full papers presented in this book were carefully reviewed and selected from 43 submissions. 15 were selected for oral presentation and 11 for poster presentation. The theme of ICCBR 2019, "Explainable AI (XAI)," was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction.
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Bibliographic Information
Book Title: Case-Based Reasoning Research and Development
Book Subtitle: 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings
Editors: Kerstin Bach, Cindy Marling
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-29249-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-29248-5Published: 09 August 2019
eBook ISBN: 978-3-030-29249-2Published: 02 September 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXI, 405
Number of Illustrations: 70 b/w illustrations, 88 illustrations in colour
Topics: Artificial Intelligence, Computer Appl. in Administrative Data Processing, Information Storage and Retrieval, Data Mining and Knowledge Discovery