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Publication search results
found 21 matches
- 2019
- Robert Anderson, Yun Sing Koh
, Gillian Dobbie:
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift. AusDM 2019: 143-155 - Storm Bartlett, Md Zahidul Islam
:
Improving Clustering via a Fine-Grained Parallel Genetic Algorithm with Information Sharing. AusDM 2019: 3-15 - Jörg Frochte
, Stephen Marsland:
A Learning Approach for Ill-Posed Optimisation Problems. AusDM 2019: 16-27 - Dakshi Tharanga Kapugama Geeganage, Yue Xu, Yuefeng Li:
Topic Representation using Semantic-Based Patterns. AusDM 2019: 28-40 - Nishadi Kirielle, Peter Christen, Thilina Ranbaduge:
Outlier Detection Based Accurate Geocoding of Historical Addresses. AusDM 2019: 41-53 - Inna Kolyshkina
, Simeon Simoff
:
Interpretability of Machine Learning Solutions in Industrial Decision Engineering. AusDM 2019: 156-170 - Xiang Li, Ali Shemshadi, Lukasz P. Olech, Zbigniew Michalewicz:
Customer Wallet Share Estimation for Manufacturers Based on Transaction Data. AusDM 2019: 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. AusDM 2019: 183-195 - Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
:
SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. AusDM 2019: 54-63 - Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
:
Estimating County Health Indices Using Graph Neural Networks. AusDM 2019: 64-76 - Dean Philp, Naomi Chan, Wolfgang Mayer
:
Network Path Estimation in Uncertain Data via Entity Resolution. AusDM 2019: 196-207 - 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. AusDM 2019: 91-103 - 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. AusDM 2019: 77-90 - Yang Wang, Guodong Long, Xueping Peng
, Allison Clarke, Robin Stevenson, Leah Gerrard:
Interactive Deep Metric Learning for Healthcare Cohort Discovery. AusDM 2019: 208-221 - Darren Webb:
Applying Softmax Classifiers to Open Set. AusDM 2019: 104-115 - Chee Keong Wee
, Richi Nayak
:
Data Replication Optimization Using Simulated Annealing. AusDM 2019: 222-234 - Wernsen Wong, Yun Sing Koh
, Gillian Dobbie:
Using Transfer Learning to Detect Phishing in Countries with a Small Population. AusDM 2019: 129-140 - Ka Yee Wong, Raymond K. Wong:
An Efficient Risk Data Learning with LSTM RNN. AusDM 2019: 116-128 - 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. AusDM 2019: 249-255 - Darren Yates, Md Zahidul Islam
:
Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health. AusDM 2019: 235-246 - 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 [contents]
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