Équipe de recherche :Research Team:
Data, Intelligence and Graphs (DIG)Data, Intelligence and Graphs (DIG)
Laboratoire :Laboratory:
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Département :Department:
Informatique et Réseaux (Infres)Computer Sciences and Networks (Infres)
Albert Bifet is Full Professor at Télécom Paris. He is one of the leaders of MOA and Apache SAMOA software environments for implementing algorithms and running experiments for online learning from evolving data streams. He is co-author of a book on Machine Learning from Data Streams at MIT Press.
Previously he worked at Huawei Noah’s Ark Lab in Hong Kong, Yahoo Labs in Barcelona, University of Waikato and UPC BarcelonaTech. He was serving as Co-Chair of the Industrial track of IEEE MDM 2016, ECML PKDD 2015, and as Co-Chair of BigMine (2018-2012), and ACM SAC Data Streams Track (2019-2012).
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