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

Description

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.

Table of Contents

1. Front Matter – Pages I-XV
2. Classification Tasks
   1. Front Matter – Pages 1-1
   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
   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
   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
   7.  – 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
   2. Reference Values Based Hardening for Bloom Filters Based Privacy-Preserving Record Linkage – Sirintra Vaiwsri, Thilina Ranbaduge, Peter Christen – Pages 189-202
   3. Canopy-Based Private Blocking – Yanfeng Shu, Stephen Hardy, Brian Thorne – Pages 203-215
   4. Community Aware Personalized Hashtag Recommendation in Social Networks – Areej Alsini, Amitava Datta, Du Q. Huynh, Jianxin Li – Pages 216-227
   5. Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network – Tahereh Pourhabibi, Yee Ling Boo, Kok-Leong Ong, Booi Kam, Xiuzhen Zhang – Pages 228-240
   6. Taxonomy-Augmented Features for Document Clustering – Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi, Bernie Kruger – Pages 241-252
   7. A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies – Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jörg Sander, Ricardo J. G. B. Campello – Pages 253-265
6. Statistics in Data Science
   1. Front Matter – Pages 267-267
   2. Positive Data Kernel Density Estimation via the LogKDE Package for R – Hien D. Nguyen, Andrew T. Jones, Geoffrey J. McLachlan – Pages 269-280
   3. The Role of Statistics Education in the Big Data Era – Ryan H. L. Ip – Pages 281-288
   4. Hierarchical Word Mover Distance for Collaboration Recommender System – Chao Sun, King Tao Jason Ng, Philip Henville, Roman Marchant – Pages 289-302
7. Health, Software and Smart Phone
   1. Front Matter – Pages 303-303
   2. An Alternating Least Square Based Algorithm for Predicting Patient Survivability – Qiming Hu, Jie Yang, Khin Than Win, Xufeng Huang – Pages 305-317
   3. Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle – David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie – Pages 318-330
   4. Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones – Darren Yates, Md. Zahidul Islam, Junbin Gao – Pages 331-343
8. Image Data Mining
   1. Front Matter – Pages 345-345
   2. Retinal Blood Vessels Extraction of Challenging Images – Toufique Ahmed Soomro, Junbin Gao, Zheng Lihong, Ahmed J. Afifi, Shafiullah Soomro, Manoranjan Paul – Pages 347-359
   3. Sequential Deep Learning for Action Recognition with Synthetic Multi-view Data from Depth Maps – Bin Liang, Lihong Zheng, Xinying Li – Pages 360-371
   4. Provenance Analysis for Instagram Photos – Yijun Quan, Xufeng Lin, Chang-Tsun Li – Pages 372-383
9. Industry Showcase
   1. Front Matter – Pages 385-385
   2. How Learning Analytics Becomes a Bridge for Non-expert Data Miners: Impact on Higher Education Online Teaching – Katherine Herbert, Ian Holder – Pages 387-395
10. Back Matter – Pages 397-398 

Editors Biography

Rafiqul Islam
School of Computing and Mathematics, Charles Sturt University, Albury, Australia

Yun Sing Koh
University of Auckland, Auckland, New Zealand

Yanchang Zhao
CSIRO Scientific Computing, Canberra, Australia

Graco Warwick
Data Science and Engineering, Australian Taxation Office, Canberra, Australia

David Stirling
Department of Information Technology, University of Wollongong, Wollongong, Australia

Chang-Tsun Li
School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, Australia

Zahidul Islam
School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia