I am Associate Professor in Big Data at LTCI, Telecom ParisTech, University Paris Saclay. My research focuses on Data Stream mining, 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.

What’s new

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



Invited Talks

Professional activities