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DUKe - Data User Knowledge

Responsable d'équipe : Christine SINOQUET   :
Responsable adjoint : Mounira HARZALLAH   :
Pôle(s) de recherche :

The DUKe (Data User Knowledge) research group, part of the LS2N laboratory (UMR CNRS 6004), University of Nantes, aims at proposing querying, mining and learning techniques that take into account

  • data types (relational, spatial, graphical, temporal, stream, etc.),
  • expert knowledge or user interactions through adapted visual supports

Moreover, the objective of the research team is to provide algorithms that 

  • consider user-related data, in particular issues like privacy, fairness and the value of personal data
  • show good properties in terms of user interaction : anytime, incremental, fast, user-knowledge accounting or graphical representation
  • allow to observe, analyze users' usage and then propose a user-system coevolution


Part of our work has, over the years, established connections with other research fields that handle large data sets, which analysis requires introduction of field-specific expert knowledge into models (biology, ethology, history, sociology, literature and education sciences).

Our current application fields are :

  • Enterprise of the future
    • Business Intelligence : customer relationship management, ...
    • Manufacturing intelligence : predictive maintenance, ...
    • Digital transformation : extraction and formalization of business knowledge
  • Health of the future
    • Personalized medicine : genome-wide association studies, ...
    • Hospital of the future : treatment and immersion in virtual reality, ...
  • Digital Humanities
    • Learning Analytics : Mooc log mining, recommendation of teaching resources, ...
    • Cultural heritage : helping historical resources annotation, recommendation of museographic resources ...
    • Sociology, epistemology : cross-mining of digital traces, surveys and interviews


Thématiques de l'équipe

Our goal is to propose User-centered methods for Data management, Mining or Machine Learning. This involves four challenges

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