LIP6 CNRS Sorbonne Université Tremplin Carnot Interfaces
Direct Link LIP6 » Suche » DAPA
Photo Responsable

Abteilung «Daten und Künstliches Lernen»

Verantwortliche(r) :

Bernd Amann Campus Pierre et Marie Curie 25-26/506

Kurze Präsentation

The DAPA Data and Knowledge Science research department is composed of four research teams (MLIA, LFI, ACASA, BD) with about 25 permanent members. Its research is focused on all kinds of information processing and analysis problems and in particular recent challenges in "Data and Knowledge Science" and "Big Data".

  • Statistical and symbolic machine Learning (MLIA, LFI, ACASA)
  • Computational intelligence and fuzzy logic (LFI, ACASA)
  • Information retrieval (text, image, multimedia, streams) (MLIA, LFI, BD)
  • Knowledge Representation and deasoning (LFI, ACASA)
  • Heterogeneous, distributed and dynamic databases (BD)
  • Cognitive sciences and digital humanities (ACASA)
  • Recommendation, collaborative filtering and information personalization (MLIA, LFI, ACASA, BD)

Theoretical and applied contributions cover a wide spectrum of methods from machine learning, artificial intelligence and databases applied to different types of information (web, text, images, videos, graphs, trees). Projects and research contracts deal with data and knowledge-centric applications like social networks, internet of things, smart transportation and digital humanities:
  • Online and offline analysis of social networks
  • Intelligent transport and mobility
  • Web archiving
  • Continuous filtering and aggregation of information streams
  • Stylistic text analysis

Statistisches und symbolisches Maschinelles Lernen, Unscharfe Logik, Aggregation und Fusion von Information, Inhaltsbasierte Informationsrügewinnung in Text- und Videodokumenten, Benutzerinteraktion und -modellierung, Risikoanalyse, Verteilte Datenbanken, Datenreplikation und Load Balancing.

zur Zeit keine Veranstaltung geplant.



bernd.amann (at)

 Mentions légales
Plan |