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Data Mining

15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers

  • Yee Ling Boo
  • David Stirling
  • Lianhua Chi
  • Lin Liu
  • Kok-Leong Ong
  • Graham Williams

Part of the Communications in Computer and Information Science book series (CCIS, volume 845)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Clustering and Classification

    1. Front Matter
      Pages 1-1
    2. Jinyan Li, Simon Fong, Shimin Hu, Raymond K. Wong, Sabah Mohammed
      Pages 3-23
    3. Zaheer Babar, Md Zahidul Islam, Sameen Mansha
      Pages 24-37
    4. Malika Bendechache, Nhien-An Le-Khac, M-Tahar Kechadi
      Pages 38-56
    5. Soheila Gheisari, Daniel R. Catchpoole, Amanda Charlton, Paul J. Kennedy
      Pages 57-71
    6. Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han
      Pages 72-85
  3. Big Data

  4. Time Series

    1. Front Matter
      Pages 123-123
    2. Irvan B. Arief-Ang, Flora D. Salim, Margaret Hamilton
      Pages 125-143
  5. Outlier Detection and Applications

    1. Front Matter
      Pages 159-159
    2. Musa Mammadov, Rob Muspratt, Julien Ugon
      Pages 161-172
    3. Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang
      Pages 173-191
    4. Mohiuddin Ahmed, Abu S. S. M. Barkat Ullah
      Pages 192-202
    5. Md. Shahidul Islam, Russel Pears, Boris Bačić
      Pages 203-219
  6. Social Media and Applications

    1. Front Matter
      Pages 221-221
    2. Bandar Alghamdi, Yue Xu, Jason Watson
      Pages 233-249
    3. Alireza Moayedekia, Kok-Leong Ong, Yee Ling Boo, William Yeoh
      Pages 250-264
    4. Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi
      Pages 265-276
  7. Back Matter
    Pages 277-277

About these proceedings

Introduction

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.

Keywords

artificial intelligence classification data mining decision trees machine learning signal processing Support Vector Machines (SVM)

Editors and affiliations

  • Yee Ling Boo
    • 1
  • David Stirling
    • 2
  • Lianhua Chi
    • 3
  • Lin Liu
    • 4
  • Kok-Leong Ong
    • 5
  • Graham Williams
    • 6
  1. 1.RMIT UniversityMelbourneAustralia
  2. 2.University of WollongongWollongongAustralia
  3. 3.La Trobe UniversityMelbourneAustralia
  4. 4.School of Information Technology and Mathematical SciencesUniversity of South AustraliaAdelaideAustralia
  5. 5.La Trobe UniversityMelbourneAustralia
  6. 6.Microsoft Pty LtdSingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-0292-3
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-0291-6
  • Online ISBN 978-981-13-0292-3
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • Buy this book on publisher's site
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