Seminar@SystemX animé par Albert Bifet

Albert Bifet, maître de conférences à Télécom ParisTech et chercheur au LTCI sur le flux des données en temps réel, animera le séminaire Seminar@SystemX organisé par l’IRT SystemX à Palaiseau le 14 septembre, de 14h à 15h30, à Nano-INNOV (Bâtiment 862, amphi 34).  Son intervention portera sur le thème « Massive Online Analytics for the Internet of Things (IoT) ».  Inscription ici.

Présentation de l’intervention d’Albert Bifet en anglais :
“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, I will present an overview of data stream mining, and I will introduce some popular open source tools for data stream mining.”

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