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Departamento «Banco de Dados e máquinas de aprendizado»

Chefe de Equipe :

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

Curta apresentação

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

Aprendizagem de máquina simbólica e estatística, lógica nebulosa, agregação e fusão de informação, recuperação de informação baseada em conteúdo de texto e vídeo, modelagem e interação home-máquina, análise de riscos, banco de dados distribuídos, replicação de dados e balanceamento de carga.

Não há eventos planejados no momento.



bernd.amann (at)

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