Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10526)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining
Conference proceedings info: PAKDD 2017.
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Table of contents (17 papers)
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Front Matter
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MLSDA
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Front Matter
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BDM
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Front Matter
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Other Volumes
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Trends and Applications in Knowledge Discovery and Data Mining
About this book
Editors and Affiliations
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Seoul National University, Seoul, Korea (Republic of)
U Kang
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School of Information Systems, Singapore Management University, Singapore, Singapore
Ee-Peng Lim
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Chinese University of Hong Kong, Hong Kong, China
Jeffrey Xu Yu
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Kangwon National University, Chuncheon, Korea (Republic of)
Yang-Sae Moon
Bibliographic Information
Book Title: Trends and Applications in Knowledge Discovery and Data Mining
Book Subtitle: PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017, Revised Selected Papers
Editors: U Kang, Ee-Peng Lim, Jeffrey Xu Yu, Yang-Sae Moon
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67274-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67273-1Published: 07 October 2017
eBook ISBN: 978-3-319-67274-8Published: 06 October 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 203
Number of Illustrations: 80 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Health Informatics, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Computation by Abstract Devices