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
ORPAILLEUR
Knowledge discovery, knowledge engineering
Research centre: Nancy - Grand Est
In partnership with: CNRS, Université de Lorraine
In collaboration with: Laboratoire lorrain de recherche en informatique et ses applications (LORIA)

Field: Perception, Cognition and Interaction
Theme: Data and Knowledge Representation and Processing
Keywords:
Computer Science and Digital Science:
  • A3. - Data and knowledge
  • A3.1. - Data
  • A3.1.1. - Modeling, representation
  • A3.1.7. - Open data
  • A3.2. - Knowledge
  • A3.2.1. - Knowledge bases
  • A3.2.2. - Knowledge extraction, cleaning
  • A3.2.3. - Inference
  • A3.2.4. - Semantic Web
  • A3.2.5. - Ontologies
  • A3.2.6. - Linked data
  • A3.3. - Data and knowledge analysis
  • A3.3.2. - Data mining
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.5. - Bayesian methods
  • A3.4.8. - Deep learning
  • A3.5.2. - Recommendation systems
  • A4.8. - Privacy-enhancing technologies
  • A8.1. - Discrete mathematics, combinatorics
  • A9.1. - Knowledge
  • A9.2. - Machine learning
  • A9.6. - Decision support
  • A9.8. - Reasoning
Other Research Topics and Application Domains:
  • B1.1. - Biology
  • B2. - Health
  • B2.3. - Epidemiology
  • B2.4.1. - Pharmaco kinetics and dynamics
  • B2.4.2. - Drug resistance
  • B3.1. - Sustainable development
  • B3.5. - Agronomy
  • B3.6. - Ecology
  • B3.6.1. - Biodiversity
  • B5. - Industry of the future
  • B9.5.6. - Data science