The following is the tentative program and running order of events on the three days of the conference. It may change closer to the event, and the final program will be uploaded closer to the program date:
Day 1 – 28 November 2018
| Time | Information and Location | Topic |
|---|---|---|
| 7:00 – 8:00 | AusDM 2018 Registration Building: 1305 – Engineering Room: Foyer |
|
| 8:00 – 9:00 | AusDM 2018 Opening Building: 1286 – CPD Room: James Hardie |
|
| 9:00 – 10:00 | Keynote 1 Building: 1286 – CPD Room: James Hardie |
Prof Geoff Webb Learning in a Dynamic and Ever-changing World |
| 10:00 – 10:30 | Morning Tea Building: 1305 – Engineering Room: Foyer |
|
| 10:30 – 12:30 | Session 1 Building: 1286 – CPD Room: James Hardie |
6 Research Track Papers Classification Tasks Session Chair: Yun Sing Koh |
| 12:30 – 1:30 | Lunch Building: 1305 – Engineering Room: Foyer |
|
| 1:30 – 3:30 | Tutorial 1 Building: 1305 – Engineering Room: 136 |
Dr Graham Williams Accessible Machine Learning |
| 3:30 – 4:00 | Afternoon Tea Building: 1305 – Engineering Room: Foyer |
|
| 4:00 – 5:00 | Session 2 Building: 1286 – CPD Room: James Hardie |
3 Application Track Papers Application Track – Transport, Environment and Energy Session Chair: Chao Sun |
| 5:00 – 7:00 | Finger Foods and Welcome Supper Building: 1305 – Engineering Room: Foyer and Courtyard |
Day 2 – 29 November 2018
| Time | Information and Location | Topic |
|---|---|---|
| 8:00 – 9:00 | AusDM 2018 Registration Building: 1305 – Engineering Room: Foyer |
|
| 9:00 – 10:00 | Keynote 2 Building: 1305 – Engineering Room: 136 |
Prof Junbin Gao Subspace Clustering and Its Development for Manifold-valued Data |
| 10:00 – 10:30 | Morning Tea Building: 1305 – Engineering Room: Foyer |
|
| 10:30 – 12:30 | Session 3A Building: 1285 – CPD Room: Foundation Room 1 |
6 Research Track Papers Applied Data Mining Session Chair: Richi Nayak |
| Session 3B Building: 1285 – CPD Room: Foundation Room 2 |
6 Research Track Papers Privacy and Clustering Session Chair: Ricardo J. G. B. Campello |
|
| 12:30 – 1:30 | Lunch Building: 1305 – Engineering Room: Foyer |
|
| AusDM Steering Committee Meeting | ||
| 1:30 – 3:30 | Tutorial 2 Building: 1305 – Engineering Room: 136 |
Dr Yanchang Zhao R and Data Mining |
| 3:30 – 4:00 | Afternoon Tea Building: 1305 – Engineering Room: Foyer |
|
| 4:00 – 5:00 | Session 4A Building: 1285 – CPD Room: Foundation Room 1 |
2 Research Track Papers 1 Application Track Paper Statistics in Data Science Session Chair: Ryan H.L. Ip |
| Session 4B Building: 1285 – CPD Room: Foundation Room 2 |
3 Application Track Papers Application Track – Health, Software and Smart Phone Session Chair: Klaus Felsche |
|
| 7:00 – 9:30 | AusDM 2018 Dinner Tamarin Tandoori Restaurant, William Street Bathurst |
Day 3 – 30 November 2018
| Time | Information and Location | Topic |
|---|---|---|
| 8:00 – 9:00 | AusDM 2018 Registration Building: 1305 – Engineering Room: Foyer |
|
| 9:00 – 10:00 | Session 5A Building: 1305 – Engineering Room: 136 |
3 Research Track Papers Image Data Mining Session Chair: Rafiqul Islam |
| Session 5B Building: 1305 – Engineering Room: Pitch Room |
2 Industry Showcase Presentations Industry Showcase Session Chair: Warwick Graco |
|
| 10:00 – 10:30 | Morning Tea Building: 1305 – Engineering Room: Foyer |
|
| 10:30 – 12:30 | Session 6 Building: 1305 – Engineering Room: 136 |
4 Industry Showcase Presentations Industry Showcase Session Chair: Warwick Graco |
| 12:30 – 1:30 | Lunch Building: 1305 – Engineering Room: Foyer |
|
| 1:30 – 3:30 | Tutorial 3 Building: 1305 – Engineering Room: 136 |
Dr Graham Williams ML Hack for ML Hub |
| 3:30 – 4:00 | Afternoon Tea Building: 1305 – Engineering Room: Foyer |
|
| 4:00 – 5:00 | AusDM 2018 Closing Building: 1305 – Engineering Room: 136 |
Session 1: Classification Tasks
| Paper ID | Paper Title | Authors |
|---|---|---|
| 47 | Misogynistic Tweet Detection: Modelling CNN with Small Datasets. | Md Abul Bashar, Richi Nayak, Nicolas Suzor and Bridget Weir. |
| 75 | Multiple Support Vector Machines for Binary Text Classification based on Sliding Window Technique. | Aisha Albqmi, Yuefeng Li and Yue Xu. |
| 16 | High-Dimensional Limited-Sample Biomedical Data Classification using Variational Autoencoder. | Mohammad Sultan Mahmud, Xianghua Fu, Joshua Zhexue Huang and Md Abdul Masud. |
| 77 | SPAARC: A Fast Decision Tree Algorithm | Darren Yates, Zahid Islam and Junbin Gao. |
| 49 | LCS based Diversity Maintenance in Adaptive Genetic Algorithm | Ryoma Ohira, Md. Saiful Islam, Jun Jo and Bela Stantic. |
| 26 | Categorical Features Transformation with Compact One-hot Encoder for Fraud Detection in Distributed Environment. | Ikram Ul Haq, Iqbal Gondal, Peter Vamplew and Simon Brown. |
Session 2: Application Track – Transport, Environment and Energy
| Paper ID | Paper Title | Authors |
|---|---|---|
| 4 | Combining Machine Learning and Statistical Disclosure Control to Promote Open Data. | Nasca Peng |
| 14 | Predicting Air Quality from Low-Cost Sensor Measurements. | Hamish Huggard, Yun Sing Koh, Patricia Riddle and Gustavo Olivares. |
| 86 | An Approach to Compress and Represent Time Series Data and Its Application in Electric Power Utilities. | Ck Wee and Richi Nayak. |
Session 3A: Applied Data Mining
| Paper ID | Paper Title | Authors |
|---|---|---|
| 76 | Applying Data Mining Methods to Generate Formative Feedback in Team Projects. | Rimmal Nadeem, X. Rosalind Wang and Caslon Chua. |
| 87 | A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices. | Sanaz Nikfalazar, Chung-Hsing Yeh, Susan Bedingfield and Hadi Akbarzadeh Khorshidi. |
| 59 | A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating. | Hendi Lie, Darren Lukas, Jonathan Liebig and Richi Nayak. |
| 8 | Homogeneous Feature Transfer and Heterogeneous Location Fine-tuning for Cross-City Property Appraisal Framework. | Yihan Guo, Shan Lin, Xiao Ma, Jay Bal and Chang-Tsun Li. |
| 33 | Statistical Models of Dengue Fever. | Hamilton Link, Samuel Richter, Vitus Leung, Randy Brost, Cindy Phillips and Andrea Staid. |
Session 3B: Privacy and Clustering
| Paper ID | Paper Title | Authors |
|---|---|---|
| 28 | Reference Values based Hardening for Bloom Filters based Privacy-Preserving Record Linkage. | Sirintra Vaiwsri, Thilina Ranbaduge and Peter Christen. |
| 35 | Canopy-based Private Blocking. | Yanfeng Shu, Stephen Hardy and Brian Thorne. |
| 54 | Community Aware Personalized Hashtag Recommendation in Social Networks. | Areej Alsini, Amitava Datta, Du Huynh and Jianxin Li. |
| 15 | Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network | Tahereh Pourhabibi, Yee Ling Boo, Kok-Leong Ong, Booi Kam and Xiuzhen Zhang. |
| 60 | Taxonomy-augmented features for document clustering | Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi and Bernie Kruger. |
| 2 | A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies. | Francisco De Assis Rodrigues Dos Anjos, Jadson Castro Gertrudes, Ricardo José Gabrielli Barreto Campello and Joerg Sander. |
Session 4A: Statistics in Data Science
| Paper ID | Paper Title | Authors |
|---|---|---|
| 41 | Positive data kernel density estimation via the logKDE package for R. | Andrew Jones, Hien Nguyen and Geoffrey McLachlan. |
| 43 | The Role of Statistics Education in the Big Data Era. | Ryan H.L. Ip. |
| 79 | Hierarchical Word Mover Distance for Collaboration Recommender System. | Chao Sun, King Tao Ng, Philip Henville and Roman Marchant. |
Session 4B: Application Track – Health, Software and Smart Phone
| Paper ID | Paper Title | Authors |
|---|---|---|
| 67 | Machine Learning Prediction on Breast Cancer Patient Survivability: an Alternating Least Square Approach. | Qiming Hu, Jie Yang, Khin Than Win and Xufeng Huang. |
| 5 | Interpreting Intermittent Bugs in Mozilla Applications using Change Angle. | David Tse Jung Huang, Yun Sing Koh and Gillian Dobbie |
| 40 | Implementation and Performance Analysis of Data Mining Classification Algorithms on Smartphones. | Darren Yates, Zahid Islam and Junbin Gao |
Session 5A: Image Data Mining
| Paper ID | Paper Title | Authors |
|---|---|---|
| 3 | Retinal Blood Vessels Extraction of Challenging Images. | Toufique Ahmed Soomro, Junbin Gao, Zheng Lihong, Ahmed J. Afifi, Shafiullah Soomro and Manoranjan Paul. |
| 10 | Sequential Deep Learning for Action Recognition with Synthetic Multi-View Data from Depth Maps. | Bin Liang and Lihong Zheng. |
| 81 | Provenance Analysis for Instagram Photos. | Yijun Quan, Xufeng Lin and Chang-Tsun Li |
Session 5B: Industry Showcase
| Presentation Title | Presenter |
|---|---|
| The Capstone Technique: Using Cohorts for effective data mining. (Oral presentation only) |
Tony Nolan |
| GovHack 2018. (Oral presentation only) | Tony Nolan |
Session 6: Industry Showcase
| Paper ID | Paper/Presentation Title | Authors/Presenters |
|---|---|---|
| 97 | Potential of Photonic Computers. (Oral presentation only) | Tony Nolan. |
| 52 | How learning analytics becomes a bridge for non-expert data miners: Impact on higher education online teaching. | Katherine Herbert and Ian Holder |
| 96 | Analytics and Ethics. (Oral presentation only) | Klaus Felsche |
| 98 | Identification of Class Structure in Data. (Oral presentation only) | Warwick Graco |