FDST 2019 | Learning through data streams and time series: convergences, specificities and common challenges

Data streams can be considered as infinite time series. This implies specific processing techniques, since decision making is generally based on partial information that is likely to evolve over time (concept drift), taking into account a history that is difficult to delimit […] FDST2019’s aim is to bring together experienced researchers and PhD students in order to review convergences and divergences while trying to identify some common challenges.

at Télécom Paris, 46 rue Barrault, Pairs 13^th Arrondissement