Dr.  Albert Bifet Digital Library

Based in Paris, France
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Albert Bifet

Bio:

Albert Bifet is Full Professor at University of Waikato and LTCI, Telecom Paris, IP-Paris. Previously he worked at Huawei Noah's Ark Lab in Hong Kong, Yahoo Labs in Barcelona, University of Waikato and UPC BarcelonaTech. He is the co-author of a book on Machine Learning for Data Streams at MIT Press, and author of a book on Adaptive Stream Mining and Pattern Learning and Mining from Evolving Data Streams. He is one of the leaders of MOA, scikit-multiflow, Apache SAMOA and streamDM software environments for implementing algorithms and running experiments for online learning from evolving data streams. He was serving as Co-Chair of the Industrial track of IEEE MDM 2016, ECML PKDD 2015, and as Co-Chair of KDD BigMine (2019-2012), and ACM SAC Data Streams Track (2020-2012)

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