Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9794)
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 2016.
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Table of contents (24 papers)
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Front Matter
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Biologically Inspired Data Mining Techniques (BDM)
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Front Matter
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Machine Learning for Sensory Data Analysis (MLSDA)
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Front Matter
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Predictive Analytics for Critical Care (PACC)
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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
This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016.
The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.
Keywords
- data mining
- kernel methods
- neural networks
- social recommendation
- Web mining
- association rules
- authentication
- clustering
- design and analysis of algorithms
- e-commerce
- evolutionary learning
- factorization methods
- feature selection
- healthcare analytics
- machine learning approaches
- optimization method
- pattern discovery
- semi-supervised learning
- supervised learning by classification
Editors and Affiliations
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New Mexico State University , Las Cruces, USA
Huiping Cao
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University of Technology Sydney , Sydney, Australia
Jinyan Li
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Massey University , Auckland, New Zealand
Ruili Wang
Bibliographic Information
Book Title: Trends and Applications in Knowledge Discovery and Data Mining
Book Subtitle: PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers
Editors: Huiping Cao, Jinyan Li, Ruili Wang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-42996-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-42995-3Published: 15 July 2016
eBook ISBN: 978-3-319-42996-0Published: 15 July 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 282
Number of Illustrations: 84 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