Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11016)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): PKAW: Principle and Practice of Data and Knowledge Acquisition Workshop
Conference proceedings info: PKAW 2018.
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Table of contents (22 papers)
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Front Matter
About this book
This book constitutes the proceedings of the 15th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2018, held in Nanjing, China, in August 2018.
The 15 full papers and 7 short papers included in this volume were carefully reviewed and selected from 51 initial submissions. They cover the methods and tools as well as the applications related to developing a knowledge base, healthcare, financial systems, and intelligent systems.
Keywords
- artificial intelligence
- data mining
- image processing
- image segmentation
- information retrieval
- intelligent agents
- intelligent virtual agents
- knowledge base
- knowledge-based system
- Multi-Agent Systems (MAS)
- search engines
- search results
- semantics
- Support Vector Machines (SVM)
- wavelet transforms
- world wide web
Editors and Affiliations
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University of Tsukuba , Tokyo, Japan
Kenichi Yoshida
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Shih Chien University, Taipei City, Taiwan
Maria Lee
Bibliographic Information
Book Title: Knowledge Management and Acquisition for Intelligent Systems
Book Subtitle: 15th Pacific Rim Knowledge Acquisition Workshop, PKAW 2018, Nanjing, China, August 28-29, 2018, Proceedings
Editors: Kenichi Yoshida, Maria Lee
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-97289-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-97288-6Published: 27 July 2018
eBook ISBN: 978-3-319-97289-3Published: 26 July 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 283
Number of Illustrations: 87 b/w illustrations
Topics: Artificial Intelligence, Information Storage and Retrieval, Data Mining and Knowledge Discovery, Image Processing and Computer Vision, Computer Appl. in Administrative Data Processing