Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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2019 Project-Team Activity Report
LACODAM
Large scale Collaborative Data Mining
Research centre: Rennes - Bretagne-Atlantique
In partnership with: Institut national des sciences appliquées de Rennes, Institut national supérieur des sciences agronomiques, agroalimentaires, horticoles et du paysage, Université Rennes 1
In collaboration with: Institut de recherche en informatique et systèmes aléatoires (IRISA)

Field: Perception, Cognition and Interaction
Theme: Data and Knowledge Representation and Processing
Keywords:
Computer Science and Digital Science:
  • A2.1.5. - Constraint programming
  • A3.1.1. - Modeling, representation
  • A3.1.6. - Query optimization
  • A3.1.11. - Structured data
  • A3.2.1. - Knowledge bases
  • A3.2.2. - Knowledge extraction, cleaning
  • A3.2.3. - Inference
  • A3.2.4. - Semantic Web
  • A3.3. - Data and knowledge analysis
  • A3.3.1. - On-line analytical processing
  • A3.3.2. - Data mining
  • A3.3.3. - Big data analysis
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.6. - Neural networks
  • A3.4.8. - Deep learning
  • A9.1. - Knowledge
  • A9.2. - Machine learning
  • A9.3. - Signal analysis
  • A9.6. - Decision support
  • A9.7. - AI algorithmics
  • A9.8. - Reasoning
Other Research Topics and Application Domains:
  • B1.2.2. - Cognitive science
  • B2.3. - Epidemiology
  • B2.4.1. - Pharmaco kinetics and dynamics
  • B3.5. - Agronomy
  • B3.6. - Ecology
  • B3.6.1. - Biodiversity