Topics of interest include, but are not limited to:
FinTech |
Data Mining |
Big Data |
Applications |
- Quantitative investment
- Market microstructure
- Fraud detection
- Risk prediction
- Credit modeling
- Individual financing
- Financial theories
- Financial activities modeling
- Financial intelligent system
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- Machine learning
- Statistical learning
- Supervised learning
- Unsupervised, self-supervised learning
- Few-shot learning
- Transfer learning
- Reinforcement learning
- Meta learning
- Systems for data mining
- Mining text, semi-structured, spatio-temporal, streaming, graph,
web, multimedia data
- Personalization and recommendation systems
- Case-Based reasoning
- Similarity-Based reasoning
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- Data models and architectures
- Security, privacy, and trust
- Data protection and integrity
- Identity theft, data loss and leakage
- Legal and ethical issues
- Data analytics and metrics
- Data representation and structures
- Data management and processing
- Data capturing and acquisition
- Tools and technologies QoS in big data
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- Social networks analysis
- Data searching and mining
- Visualisation of data
- Personal data logging and quantified-self
- Context-aware data
- Data economics
- Applications of datamining and big data
- Methodologies and use cases
- Usability issues
- Storages and network requirements
- Network models and protocols
- Big data in cloud and IoT
- Techniques for Big Data Processing
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