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LACODAM - 2017
LACODAM - 2017
Project-Team Lacodam
Personnel
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
Project-Team Lacodam
Personnel
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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2017 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. - Programming Languages
  • A2.1.5. - Constraint programming
  • A2.1.11. - Proof languages
  • A3. - Data and knowledge
  • A3.1. - Data
  • A3.1.1. - Modeling, representation
  • A3.2. - Knowledge
  • 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. - Machine learning and statistics
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.6. - Neural networks
  • A3.4.8. - Deep learning
  • A4. - Security and privacy
  • A4.9.1. - Intrusion detection
  • A7.1. - Algorithms
  • A7.2. - Logic in Computer Science
  • A7.2.1. - Decision procedures
  • A7.2.2. - Automated Theorem Proving
  • A9. - Artificial intelligence
  • A9.1. - Knowledge
  • A9.2. - Machine learning
  • A9.3. - Signal analysis
  • A9.6. - Decision support
  • A9.7. - AI algorithmics
Other Research Topics and Application Domains:
  • B1.1.6. - Genomics
  • B2. - Health
  • B2.3. - Epidemiology
  • B2.4. - Therapies
  • B2.4.2. - Drug resistance
  • B3. - Environment and planet
  • B3.4. - Risks
  • B3.4.3. - Pollution
  • B3.5. - Agronomy
  • B3.6. - Ecology
  • B3.6.1. - Biodiversity
  • B4. - Energy
  • B6. - IT and telecom
  • B6.2. - Network technologies
  • B8. - Smart Cities and Territories
  • B8.1. - Smart building/home
  • B8.1.1. - Energy for smart buildings
  • B8.1.2. - Sensor networks for smart buildings
  • B8.2. - Connected city
  • B8.3. - Urbanism and urban planning
  • B9. - Society and Knowledge
  • B9.4.5. - Data science
  • B9.9.1. - Environmental risks