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Case-Based Reasoning Research and Development : 25th International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017, Proceedings / edited by David W. Aha, Jean Lieber.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Aha, David W., Editor.
Lieber, Jean, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 10339
Lecture Notes in Artificial Intelligence, 2945-9141 ; 10339
Language:
English
Subjects (All):
Artificial intelligence.
Application software.
Data mining.
Information storage and retrieval systems.
Artificial Intelligence.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Local Subjects:
Artificial Intelligence.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Physical Description:
1 online resource (XIX, 436 pages) : 133 illustrations
Edition:
1st ed. 2017.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 25th International Conference on Case-Based Reasoning Research and Development, ICCBR 2017, held in Trondheim, Norway, in June 2017. 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.
Contents:
Analogy for Reuse
Activity recognition
Case-based maintenance
Computational analogy
Computer vision
Distributed AI
Game AI
Machine learning
Recommender systems
Similarity measures
Time series analysis.
Other Format:
Printed edition:
ISBN:
978-3-319-61030-6
9783319610306
Access Restriction:
Restricted for use by site license.

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