Business and Social Analytics
Program Leader: Professor Longbing Cao
The exponential increase of business and social data has become an emerging and critical challenge. Harnessing the complexity of these types of data is crucial for public and private sector organisations of all sizes. Researchers in this stream unlock the value inherent in business and social data sets. We deliver real-world, problem-driven theoretical breakthroughs and practical innovations.
Our research team is working on frontier research and applied innovation in:
- Complex business and social data analytics, learning and mining
- Behaviour representation, reasoning, learning and mining
- Intent learning, opinion mining and sentiment analysis
- Pattern/rule and exception analytics, learning and mining
- Network and networking representation analytics, learning and mining
- Community and hidden group analytics, learning and mining
- Complex relation learning and presentation
- Complex structure learning and presentation
- Economic and financial data analytics, learning and mining
- Environmental, organisational and social data analytics, learning and mining
- Models, methods learning and presentation
- Impact, profitability, utility and reliability modelling and learning
- Social media mining and social network analysis
- Customer analytics
- Web analytics
- Recommendation algorithms and recommender systems
- Optimisation
- Actionable knowledge discovery, tools and system delivery.