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ORCID17th AusDM 2019: Adelaide, SA, Australia
- Thuc Duy Le
, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin, Sebastien Wong, Lin Liu, Graham Williams:
Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings. Communications in Computer and Information Science 1127, Springer 2019, ISBN 978-981-15-1698-6
Research Track
- Storm Bartlett, Md Zahidul Islam:
Improving Clustering via a Fine-Grained Parallel Genetic Algorithm with Information Sharing. 3-15 - Jörg Frochte, Stephen Marsland:
A Learning Approach for Ill-Posed Optimisation Problems. 16-27 - Dakshi Tharanga Kapugama Geeganage, Yue Xu, Yuefeng Li:
Topic Representation using Semantic-Based Patterns. 28-40 - Nishadi Kirielle, Peter Christen, Thilina Ranbaduge:
Outlier Detection Based Accurate Geocoding of Historical Addresses. 41-53 - Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen:
SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. 54-63 - Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen:
Estimating County Health Indices Using Graph Neural Networks. 64-76 - Nguyen Thanh Toan, Orçun Gümüs, Thanh Tam Nguyen, Nguyen Quoc Viet Hung, René Hexel, Jun Jo:
Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network. 77-90 - Martha Tatusch, Gerhard Klassen, Marcus Bravidor, Stefan Conrad:
Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions. 91-103 - Darren Webb:
Applying Softmax Classifiers to Open Set. 104-115 - Ka Yee Wong, Raymond K. Wong:
An Efficient Risk Data Learning with LSTM RNN. 116-128 - Wernsen Wong, Yun Sing Koh, Gillian Dobbie:
Using Transfer Learning to Detect Phishing in Countries with a Small Population. 129-140
Application Track
- Robert Anderson, Yun Sing Koh, Gillian Dobbie:
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift. 143-155 - Inna Kolyshkina, Simeon Simoff:
Interpretability of Machine Learning Solutions in Industrial Decision Engineering. 156-170 - Xiang Li, Ali Shemshadi, Lukasz P. Olech, Zbigniew Michalewicz:
Customer Wallet Share Estimation for Manufacturers Based on Transaction Data. 171-182 - Priya Mehta, Jithin Mathews, K. Sandeep Kumar, K. Suryamukhi, Ch. Sobhan Babu:
Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System. 183-195 - Dean Philp, Naomi Chan, Wolfgang Mayer:
Network Path Estimation in Uncertain Data via Entity Resolution. 196-207 - Yang Wang, Guodong Long, Xueping Peng, Allison Clarke, Robin Stevenson, Leah Gerrard:
Interactive Deep Metric Learning for Healthcare Cohort Discovery. 208-221 - Chee Keong Wee, Richi Nayak:
Data Replication Optimization Using Simulated Annealing. 222-234 - Darren Yates, Md Zahidul Islam:
Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health. 235-246
Industry Showcase
- Wenying Xu, Scott Luo, Stephanie Hacksley, Tim Trewinnard, Stuart Cambridge, Syen Jien Nik:
Predictive Analytics for Tertiary Learners in New Zealand Who Are at Risk of Dropping Out of Education. 249-255
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