Editors:
- Discusses recent advances in natural computation, fuzzy systems and knowledge discovery
- Presents the proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019
- Written by experts in the field
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1075)
Conference series link(s): ICNC-FSKD: The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
Conference proceedings info: ICNC-FSKD 2019.
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Table of contents (121 papers)
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Knowledge Discovery Foundations: Knowledge Management
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Knowledge Discovery Foundations: Machine Learning and Artificial Intelligence
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Front Matter
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Knowledge Discovery Foundations: Other Topics in Knowledge Discovery Foundations
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Front Matter
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Knowledge Discovery in Specific Domains: High-Dimensional Data Mining
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Front Matter
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Other Volumes
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
About this book
Editors and Affiliations
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The University of Aizu, Aizuwakamatsu, Japan
Yong Liu
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School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
Lipo Wang
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Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil
Liang Zhao
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School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China
Zhengtao Yu
Bibliographic Information
Book Title: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Book Subtitle: Volume 2
Editors: Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-32591-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-32590-9Published: 07 November 2019
eBook ISBN: 978-3-030-32591-6Published: 06 November 2019
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXV, 1119
Number of Illustrations: 200 b/w illustrations, 324 illustrations in colour