I am Professor at LTCI, Telecom ParisTech, Head of the Data, Intelligence and Graphs (DIG) Group at Telecom ParisTech, and Scientific Collaborator at Ecole Polytechnique. My research focuses on Machine Learning for Data Streams, Big Data Machine Learning and Artificial Intelligence. Problems I investigate are motivated by large scale data, the Internet of Things (IoT), and Big Data Science.

I am also co-leading the open source projects MOA Massive On-line Analysis and Apache SAMOA Scalable Advanced Massive Online Analysis.

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Latest publications

  • Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer: Extremely Fast Decision Tree Mining for Evolving Data Streams. KDD 2017: 1733-1742
  • Albert Bifet: Classifier Concept Drift Detection and the Illusion of Progress. ICAISC (2) 2017: 715-725
  • Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfharinger, Geoff Holmes, Talel Abdessalem: Adaptive random forests for evolving data stream classification. Machine Learning, Springer, 2017.
  • Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, and Albert Bifet: A Survey on Ensemble Learning for Data Stream Classification. ACM Comput. Surv. 50, 2, Article 23 (March 2017), 36 pages.
  • Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro: Data stream classification using random feature functions and novel method combinations. Journal of Systems and Software 127: 195-204 (2017)



Albert BIFET

Institut Mines-Télécom, Télécom ParisTech
Université Paris-Saclay
Computer Science & Networks Dept (INFRES)
Office: C201-2
46 rue Barrault
75634 Paris Cedex 13, FRANCE

University of Waikato
Department of Computer Science – Tari Rorohiko
Machine Learning Research Group
Private Bag 3105
Hamilton 3240, New Zealand

E-mail: albert at albertbifet dot com

Twitter: @abifet

LinkedIn: abifet



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