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Australian Data Mining Conference

AusDM

Australasian

CORE rank

CORE rank (raw)

Australasian C

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

394

2002–2025

Papers per year

200237 peak2025

AusDM papers

394 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2021Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes.David Lovell, Bridget McCarron, Brendan Langfield, Khoa Tran, Andrew P. Bradley
2021Detection of Classical Cipher Types with Feature-Learning Approaches.Ernst Leierzopf, Vasily Mikhalev, Nils Kopal, Bernhard Esslinger, Harald Lampesberger, Eckehard Hermann
2021A Drift Aware Hierarchical Test Based Approach for Combating Social Spammers in Online Social Networks.Darshika N. Koggalahewa, Yue Xu, Ernest Foo
2021Hospital Readmission Prediction Using Semantic Relations Between Medical Codes.Sea Jung Im, Yue Xu, Jason Watson
2021HFM++: An Enhanced Holographic Factorization Machine for Recommendation.Zhengxin Fang, Mingcheng Qu, Shuai Zhang, Jingyu Zhang, Yi Yuan, Lina Yao, Shiping Chen
2021SOMPS-Net: Attention Based Social Graph Framework for Early Detection of Fake Health News.Prasannakumaran Dhanasekaran, Harish Srinivasan, S. Sowmiya Sree, Sri Gayathri Devi I, Saikrishnan Sankar, Vineeth Vijayaraghavan
2021The Impact of Sentiment in the News Media on Daily and Monthly Stock Market Returns.Justin Case, Adam E. Clements
2021Deep Learning for Bias Detection: From Inception to Deployment.Md. Abul Bashar, Richi Nayak, Anjor Kothare, Vishal Sharma, Kesavan Kandadai
2021Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study.Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak
2019Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health.Darren Yates, Md Zahidul Islam
2019Predictive Analytics for Tertiary Learners in New Zealand Who Are at Risk of Dropping Out of Education.Wenying Xu, Scott Luo, Stephanie Hacksley, Tim Trewinnard, Stuart Cambridge, Syen Jien Nik
2019An Efficient Risk Data Learning with LSTM RNN.Ka Yee Wong, Raymond K. Wong
2019Using Transfer Learning to Detect Phishing in Countries with a Small Population.Wernsen Wong, Yun Sing Koh, Gillian Dobbie
2019Data Replication Optimization Using Simulated Annealing.Chee Keong Wee, Richi Nayak
2019Applying Softmax Classifiers to Open Set.Darren Webb
2019Interactive Deep Metric Learning for Healthcare Cohort Discovery.Yang Wang, Guodong Long, Xueping Peng, Allison Clarke, Robin Stevenson, Leah Gerrard
2019Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network.Nguyen Thanh Toan, Orun Gms, Thanh Tam Nguyen, Nguyen Quoc Viet Hung, Ren Hexel, Jun Jo
2019Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions.Martha Tatusch, Gerhard Klassen, Marcus Bravidor, Stefan Conrad
2019Network Path Estimation in Uncertain Data via Entity Resolution.Dean Philp, Naomi Chan, Wolfgang Mayer
2019Estimating County Health Indices Using Graph Neural Networks.Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
2019SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media.Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
2019Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System.Priya Mehta, Jithin Mathews, K. Sandeep Kumar, K. Suryamukhi, Ch. Sobhan Babu
2019Customer Wallet Share Estimation for Manufacturers Based on Transaction Data.Xiang Li, Ali Shemshadi, Lukasz P. Olech, Zbigniew Michalewicz
2019Interpretability of Machine Learning Solutions in Industrial Decision Engineering.Inna Kolyshkina, Simeon Simoff
2019Outlier Detection Based Accurate Geocoding of Historical Addresses.Nishadi Kirielle, Peter Christen, Thilina Ranbaduge
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Comparable venues

Other A*/A conferences filed under the same field of research.