Editors:
Part of the book series: Communications in Computer and Information Science (CCIS, volume 845)
Conference series link(s): AusDM: Australasian Conference on Data Science and Machine Learning
Conference proceedings info: AusDM 2017.
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Table of contents (17 papers)
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Front Matter
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Clustering and Classification
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Front Matter
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Outlier Detection and Applications
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Front Matter
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Social Media and Applications
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Front Matter
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About this book
This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017.
The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications.
Editors and Affiliations
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RMIT University, Melbourne, Australia
Yee Ling Boo
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University of Wollongong, Wollongong, Australia
David Stirling
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La Trobe University, Melbourne, Australia
Lianhua Chi, Kok-Leong Ong
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School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, Australia
Lin Liu
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Microsoft Pty Ltd, Singapore, Singapore
Graham Williams
Bibliographic Information
Book Title: Data Mining
Book Subtitle: 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers
Editors: Yee Ling Boo, David Stirling, Lianhua Chi, Lin Liu, Kok-Leong Ong, Graham Williams
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-13-0292-3
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Softcover ISBN: 978-981-13-0291-6Published: 14 April 2018
eBook ISBN: 978-981-13-0292-3Published: 13 April 2018
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XII, 277
Number of Illustrations: 74 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence