The DIG team aims at making data and knowledge easy to extract, exploit and understand. The research conducted by the team covers both theoretical and practical aspects. The outcomes of this research include new algorithms (for data mining, graph analysis, processing of data streams), new data structures and languages (for storing and querying data) and new learning techniques (for question answering, content recommendation, trend and anomaly detection).
The scientific field of the DIG team covers:
- Database theory
- Query languages
- Data mining
- Graph algorithms
- Streaming algorithms
- Information retrieval
- Machine learning
- Natural language processing
- Knowledge representation and reasoning
- Cognitive models
Team members
- Thomas Bonald, Professor, team leader
- Talel Abdessalem, Professor
- Mehwish Alam, Associate Professor
- Antoine Amarilli, Associate Professor
- Albert Bifet, Professor
- Jean-Louis Dessalles, Associate Professor
- Georges Hebrail, Invited Professor
- Nils Holzenberger, Associate Professor
- Louis Jachiet, Associate Professor
- Marc Jeanmougin, Research Engineer
- Mauro Sozio, Associate Professor
- Fabian M. Suchanek, Professor
Key words
- Database,
- knowledge,
- logic,
- natural language,
- artificial intelligence,
- machine learning,
- social networks,
- graphs.
