Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9806)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: PKAW 2016.
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About this book
This book constitutes the proceedings of the 14th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2016, held in Phuket, Thailand, in August 2016. The 16 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 initial submissions. They deal with knowledge acquisition and machine learning; knowledge acquisition and natural language processing; knowledge acquisition from network and big data; and knowledge acquisition and applications.
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Keywords
Table of contents (21 papers)
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Knowledge Acquisition and Machine Learning
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Knowledge Acquisition and Natural Language Processing
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Knowledge Acquisition from Network and Big Data
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Knowledge Acquisition and Applications
Other volumes
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Knowledge Management and Acquisition for Intelligent Systems
Editors and Affiliations
Bibliographic Information
Book Title: Knowledge Management and Acquisition for Intelligent Systems
Book Subtitle: 14th Pacific Rim Knowledge Acquisition Workshop, PKAW 2016, Phuket, Thailand, August 22-23, 2016, Proceedings
Editors: Hayato Ohwada, Kenichi Yoshida
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-42706-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-42705-8Published: 07 August 2016
eBook ISBN: 978-3-319-42706-5Published: 08 August 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 281
Number of Illustrations: 91 b/w illustrations
Topics: Artificial Intelligence, Database Management, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery, Algorithm Analysis and Problem Complexity