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«Databases and machine learning» Department

Team leader : Bernd Amann Site Jussieu 25-26/506

Short presentation

The Data and Machine Learning (DAPA) research department is focused on all kinds of information processing and analysis problems. Its activites focus in particular recent challenges in "Data and Knowledge Science" and "Big Data".

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:

Data and knowledge science, statistical and symbolic machine learning, fuzzy logic, information fusion, content based information retrieval, social media, computational intelligence, streaming information, user interaction and modelling, risk analysis, distributed databases, data replication and load balancing, web archives.


bernd.amann (at)

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