DescriptionThis 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 ContentsFront Matter – Pages I-XVClassification TasksFront Matter – Pages 1-1Misogynistic Tweet Detection: Modelling CNN with Small Datasets – Md Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir – Pages 3-16Multiple Support Vector Machines for Binary Text Classification Based on Sliding Window Technique – Aisha Rashed Albqmi, Yuefeng Li, Yue Xu – Pages 17-29High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder – Mohammad Sultan Mahmud, Xianghua Fu, Joshua Zhexue Huang, Md. Abdul Masud – Pages 30-42SPAARC: A Fast Decision Tree Algorithm – Darren Yates, Md Zahidul Islam, Junbin Gao – Pages 43-55LCS Based Diversity Maintenance in Adaptive Genetic Algorithms – Ryoma Ohira, Md. Saiful Islam, Jun Jo, Bela Stantic – Pages 56-68Categorical Features Transformation with Compact One-Hot Encoder for Fraud Detection in Distributed Environment – Ikram Ul Haq, Iqbal Gondal, Peter Vamplew, Simon Brown – Pages 69-80Transport, Environment and EnergyFront Matter – Pages 81-81Combining Machine Learning and Statistical Disclosure Control to Promote Open Data – Nasca Peng – Pages 83-93Predicting Air Quality from Low-Cost Sensor Measurements – Hamish Huggard, Yun Sing Koh, Patricia Riddle, Gustavo Olivares – Pages 94-106An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities – Chee Keong Wee, Richi Nayak – Pages 107-120Applied Data MiningFront Matter – Pages 121-121Applying Data Mining Methods to Generate Formative Feedback in Team Projects – Rimmal Nadeem, X. Rosalind Wang, Caslon Chua – Pages 123-134A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices – Sanaz Nikfalazar, Chung-Hsing Yeh, Susan Bedingfield, Hadi Akbarzadeh Khorshidi – Pages 135-148A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating – Hendi Lie, Darren Lukas, Jonathan Liebig, Richi Nayak – Pages 149-160Homogeneous 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 161-174Statistical Models of Dengue Fever – Hamilton Link, Samuel N. Richter, Vitus J. Leung, Randy C. Brost, Cynthia A. Phillips, Andrea Staid – Pages 175-186Privacy and ClusteringFront Matter – Pages 187-187Reference Values Based Hardening for Bloom Filters Based Privacy-Preserving Record Linkage – Sirintra Vaiwsri, Thilina Ranbaduge, Peter Christen – Pages 189-202Canopy-Based Private Blocking – Yanfeng Shu, Stephen Hardy, Brian Thorne – Pages 203-215Community Aware Personalized Hashtag Recommendation in Social Networks – Areej Alsini, Amitava Datta, Du Q. Huynh, Jianxin Li – Pages 216-227Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network – Tahereh Pourhabibi, Yee Ling Boo, Kok-Leong Ong, Booi Kam, Xiuzhen Zhang – Pages 228-240Taxonomy-Augmented Features for Document Clustering – Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi, Bernie Kruger – Pages 241-252A 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 253-265Statistics in Data ScienceFront Matter – Pages 267-267Positive Data Kernel Density Estimation via the LogKDE Package for R – Hien D. Nguyen, Andrew T. Jones, Geoffrey J. McLachlan – Pages 269-280The Role of Statistics Education in the Big Data Era – Ryan H. L. Ip – Pages 281-288Hierarchical Word Mover Distance for Collaboration Recommender System – Chao Sun, King Tao Jason Ng, Philip Henville, Roman Marchant – Pages 289-302Health, Software and Smart PhoneFront Matter – Pages 303-303An Alternating Least Square Based Algorithm for Predicting Patient Survivability – Qiming Hu, Jie Yang, Khin Than Win, Xufeng Huang – Pages 305-317Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle – David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie – Pages 318-330Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones – Darren Yates, Md. Zahidul Islam, Junbin Gao – Pages 331-343Image Data MiningFront Matter – Pages 345-345Retinal Blood Vessels Extraction of Challenging Images – Toufique Ahmed Soomro, Junbin Gao, Zheng Lihong, Ahmed J. Afifi, Shafiullah Soomro, Manoranjan Paul – Pages 347-359Sequential Deep Learning for Action Recognition with Synthetic Multi-view Data from Depth Maps – Bin Liang, Lihong Zheng, Xinying Li – Pages 360-371Provenance Analysis for Instagram Photos – Yijun Quan, Xufeng Lin, Chang-Tsun Li – Pages 372-383Industry ShowcaseFront Matter – Pages 385-385How Learning Analytics Becomes a Bridge for Non-expert Data Miners: Impact on Higher Education Online Teaching – Katherine Herbert, Ian Holder – Pages 387-395Back Matter – Pages 397-398 Editors BiographyRafiqul Islam School of Computing and Mathematics, Charles Sturt University, Albury, AustraliaYun Sing Koh University of Auckland, Auckland, New ZealandYanchang Zhao CSIRO Scientific Computing, Canberra, AustraliaGraco Warwick Data Science and Engineering, Australian Taxation Office, Canberra, AustraliaDavid Stirling Department of Information Technology, University of Wollongong, Wollongong, AustraliaChang-Tsun Li School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, AustraliaZahidul Islam School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia