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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



Field: Perception, Cognition and Interaction

Theme: Data and Knowledge Representation and Processing
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