|
25th May, Gold Coast |
| Time |
ADC Day 2 |
PhD School Day 2 |
| 8:30-10:00 |
ADC Session 3:
- Modelling Unseen Churn in the Australian Superannuation System using Sequential Pattern Features
- Automated Underwriting in Life Insurance: Predictions and Optimisation
- Maintain Boolean Top-K Spatial Temporal Results in Publish-Subscribe Systems
- Coupled Item-based Model for Point-of-Interest Recommendation Via Social Networks
*NOTE: Each oral presentation has only 20 mins (13-15 mins presentation and 3-5 mins Q&A).
|
PhD School Tutorial 5:
Speaker: Lina Yao |
| 10:00-10:30 |
Morning Tea (ADC Poster Sessions) |
| 10:30-12:30 |
ADC Session 4:
- Child Abuse and Domestic Abuse: Content and Feature Analysis from Social Media Disclosures
- 30min-Ahead Gridded Solar Irradiance Forecasting using Satellite Data
- An efficient framework for the analysis of Big Brain Signals Data in the Biomedical signal processing
- TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation
- Finding Maximal Stable Cores in Social Networks
*NOTE: Each oral presentation has only 20 mins (13-15 mins presentation and 3-5 mins Q&A).
| PhD School Tutorial 6:
Speaker: Hongzhi Yin
Weiqing Wang |
| 12:30-14:30 |
Lunch (ADC Poster Sessions) |
| 14:30-16:30 |
ADC Session 5:
- Feature Extraction for Smart Sensing Using Multi-Perspectives Transformation
- Finding Influential Seeds by a Fast Marginal Ranking Method
- Maximizing Reverse k-Nearest Neighbors for Trajectories
- Auto-CES: An automatic method to prune Random Forest classifiers based-on Clustering Ensemble Selection
- DistClusTree: A Framework for Distributed Stream Clustering
*NOTE: Each oral presentation has only 20 mins (13-15 mins presentation and 3-5 mins Q&A).
| |
