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MLIA
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«数据库和机器学习» 院系


科研组负责人 : Bernd Amann Site Jussieu 25-26/506

简介

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".


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.

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bernd.amann (at) nulllip6.fr

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