Topics:
- Artificial Intelligence for Government: Methods and Data Analysis
- Big Data
- Biplots
- Clustering, Classification and Discrimination
- Compositional Data Analysis
- Computer Graphics and Visualization
- Data Fusion
- Data Mining
- Data Science
- Data Science Education
- Data Streams
- Deep Learning
- Knowledge Representation and Discovery
- Dependence Modelling and Copulas
- Dimension Reduction
- Functional Data Analysis
- Generalized Linear Models
- Generative Artificial Intelligence, Explainable Artificial Intelligence (XAI)
- Image Analysis and Computer Vision
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- Information-theoretic Statistical Modelling and Model Selection
- Machine Learning
- Mathematical Foundations of Data Science
- Missing Data Handling
- Model-based Clustering
- Modelling High-Dimensional and Complex Data
- Multiview Learning
- Natural Language Processing
- Optimization in Classification and Clustering
- Pattern Recognition
- Robust Methods
- Social Network Analysis
- Spatial Data Analysis
- Statistical and Econometric Methods
- Statistical Learning and Data Mining
- Symbolic Data Analysis
- Text Mining
- Time Series Analysis
- Web Mining
Applications in:
- Archaeology
- Astronomy
- Biology
- Business and Management
- Climate Change
- Economics
- Education
.
- Engineering
- Ethics of AI
- Finance
- Geosciences
- Government
- Industry
- Linguistics
.
- Marketing
- Medicine and Health Care
- Musicology
- Neuroscience
- Psychology
- Risk Management
- Social Sciences