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2016 Project-Team Activity Report
MAGNET
Machine Learning in Information Networks
Research centre:
Lille - Nord Europe
In partnership with: CNRS, Université Charles de Gaulle (Lille 3)
In collaboration with: Centre de Recherche en Informatique, Signal et Automatique de Lille
In collaboration with: Centre de Recherche en Informatique, Signal et Automatique de Lille
Keywords:
Computer Science and Digital Science:
- 1.2.9. - Social Networks
- 3. - Data and knowledge
- 3.1. - Data
- 3.1.3. - Distributed data
- 3.1.4. - Uncertain data
- 3.2.3. - Inference
- 3.2.4. - Semantic Web
- 3.3. - Data and knowledge analysis
- 3.3.1. - On-line analytical processing
- 3.3.3. - Big data analysis
- 3.4. - Machine learning and statistics
- 3.4.1. - Supervised learning
- 3.4.2. - Unsupervised learning
- 3.4.4. - Optimization and learning
- 3.5. - Social networks
- 3.5.1. - Analysis of large graphs
- 3.5.2. - Recommendation systems
- 4.8. - Privacy-enhancing technologies
- 5.8. - Natural language processing
- 6.2.6. - Optimization
- 6.3.1. - Inverse problems
- 7. - Fundamental Algorithmics
- 7.2. - Discrete mathematics, combinatorics
- 7.8. - Information theory
- 7.9. - Graph theory
- 7.10. - Network science
- 7.11. - Performance evaluation
- 8.1. - Knowledge
- 8.2. - Machine learning
- 8.4. - Natural language processing
- 8.6. - Decision support
Other Research Topics and Application Domains:
- 1. - Life sciences
- 1.1.11. - Systems biology
- 2. - Health
- 2.2.4. - Infectious diseases, Virology
- 2.3. - Epidemiology
- 2.4.1. - Pharmaco kinetics and dynamics
- 2.4.2. - Drug resistance
- 5.8. - Learning and training
- 5.10. - Biotechnology
- 6.3. - Network functions
- 7.1.2. - Road traffic
- 8.3. - Urbanism and urban planning
- 9.4.1. - Computer science
- 9.4.4. - Chemistry
- 9.5.8. - Linguistics
- 9.5.10. - Digital humanities
- 9.8. - Privacy