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Data Mining

16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28–30, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Rafiqul Islam

    1. School of Computing and Mathematics, Charles Sturt University, Albury, Australia

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  2. Yun Sing Koh

    1. University of Auckland, Auckland, New Zealand

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  3. Yanchang Zhao

    1. CSIRO Scientific Computing, Canberra, Australia

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  4. Graco Warwick

    1. Data Science and Engineering, Australian Taxation Office, Canberra, Australia

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  5. David Stirling

    1. Department of Information Technology, University of Wollongong, Wollongong, Australia

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  6. Chang-Tsun Li

    1. School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, Australia

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  7. Zahidul Islam

    1. School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 996)

Included in the following conference series:

Conference proceedings info: AusDM 2018.

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About this book

This book constitutes the refereed proceedings of the 16th Australasian Conference on Data Mining, AusDM 2018, held in Bathurst, NSW, Australia, in November 2018.

The 27 revised full papers presented together with 3 short papers were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on classification task; transport, environment, and energy; applied data mining; privacy and clustering; statistics in data science; health, software and smartphone; image data mining; industry showcase.

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Table of contents (30 papers)

  1. Front Matter

    Pages I-XV
    Download chapter PDF

  2. Classification Tasks

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Misogynistic Tweet Detection: Modelling CNN with Small Datasets

      • Md Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir
      Pages 3-16

    3. Multiple Support Vector Machines for Binary Text Classification Based on Sliding Window Technique

      • Aisha Rashed Albqmi, Yuefeng Li, Yue Xu
      Pages 17-29

    4. High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder

      • Mohammad Sultan Mahmud, Xianghua Fu, Joshua Zhexue Huang, Md. Abdul Masud
      Pages 30-42

    5. SPAARC: A Fast Decision Tree Algorithm

      • Darren Yates, Md Zahidul Islam, Junbin Gao
      Pages 43-55

    6. LCS Based Diversity Maintenance in Adaptive Genetic Algorithms

      • Ryoma Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic
      Pages 56-68

    7. Categorical Features Transformation with Compact One-Hot Encoder for Fraud Detection in Distributed Environment

      • Ikram Ul Haq, Iqbal Gondal, Peter Vamplew, Simon Brown
      Pages 69-80

  3. Transport, Environment and Energy

    1. Front Matter

      Pages 81-81
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    2. Combining Machine Learning and Statistical Disclosure Control to Promote Open Data

      • Nasca Peng
      Pages 83-93

    3. Predicting Air Quality from Low-Cost Sensor Measurements

      • Hamish Huggard, Yun Sing Koh, Patricia Riddle, Gustavo Olivares
      Pages 94-106

    4. An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities

      • Chee Keong Wee, Richi Nayak
      Pages 107-120

  4. Applied Data Mining

    1. Front Matter

      Pages 121-121
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    2. Applying Data Mining Methods to Generate Formative Feedback in Team Projects

      • Rimmal Nadeem, X. Rosalind Wang, Caslon Chua
      Pages 123-134

    3. A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices

      • Sanaz Nikfalazar, Chung-Hsing Yeh, Susan Bedingfield, Hadi Akbarzadeh Khorshidi
      Pages 135-148

    4. A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating

      • Hendi Lie, Darren Lukas, Jonathan Liebig, Richi Nayak
      Pages 149-160

    5. Homogeneous Feature Transfer and Heterogeneous Location Fine-Tuning for Cross-City Property Appraisal Framework

      • Yihan Guo, Shan Lin, Xiao Ma, Jay Bal, Chang-tsun Li
      Pages 161-174

    6. Statistical Models of Dengue Fever

      • Hamilton Link, Samuel N. Richter, Vitus J. Leung, Randy C. Brost, Cynthia A. Phillips, Andrea Staid
      Pages 175-186

  5. Privacy and Clustering

    1. Front Matter

      Pages 187-187
      Download chapter PDF

    2. Reference Values Based Hardening for Bloom Filters Based Privacy-Preserving Record Linkage

      • Sirintra Vaiwsri, Thilina Ranbaduge, Peter Christen
      Pages 189-202
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Other volumes

  1. Data Mining

Editors and Affiliations

  • School of Computing and Mathematics, Charles Sturt University, Albury, Australia

    Rafiqul Islam

  • University of Auckland, Auckland, New Zealand

    Yun Sing Koh

  • CSIRO Scientific Computing, Canberra, Australia

    Yanchang Zhao

  • Data Science and Engineering, Australian Taxation Office, Canberra, Australia

    Graco Warwick

  • Department of Information Technology, University of Wollongong, Wollongong, Australia

    David Stirling

  • School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, Australia

    Chang-Tsun Li

  • School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia

    Zahidul Islam

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