Date de l'événement : le 14 septembre 2017
14h - 15h30
IRT SystemX (Bâtiment 862, amphithéâtre 34)

Albert Bifet, professeur agrégé à Télécom ParisTech, va animer un Seminar@SystemX le 14 septembre prochain de 14h à 15h30 à l’IRT SystemX (Bâtiment 862, amphithéâtre 34) sur le thème « Massive Online Analytics for the Internet of Things (IoT) ».

Big Data and the Internet of Things (IoT) have the potential to fundamentally shift the way we interact with our surroundings. The challenge of deriving insights from the Internet of Things (IoT) has been recognized as one of the most exciting and key opportunities for both academia and industry. Advanced analysis of big data streams from sensors and devices is bound to become a key area of data mining research as the number of applications requiring such processing increases. Dealing with the evolution over time of such data streams, i.e., with concepts that drift or change completely, is one of the core issues in stream mining. In this talk, Albert Bifet will present an overview of data stream mining, and will introduce some popular open source tools for data stream mining.


Résumé complet, biographie de Albert Bifet et inscriptions sur le site de l'IRT SystemX.