Professor Albert Bifet

Professor (Computer Science)

Qualifications: PhD UPC

Contact Details

Room: FG.2.02
Phone: +64 7 838 4704
Extension: 4704

About Albert

Albert is a computer scientist whose primary area of interest is Artificial Intelligence/Machine Learning for data streams and its applications. He is a core developer of the MOA machine learning software and has more than 120 publications on machine learning methods and their applications.

Waikato AI Initiative:

Recent Publications

  • Bifet, A., de Francisci Morales, G., Read, J., Holmes, G., & Pfahringer, B. (2015). Efficient online evaluation of big data stream classifiers. In Proc 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 59-68). Conference held Sydney, Australia: ACM. doi:10.1145/2783258.2783372 Open Access version:

  • Sakthithasan, S., Pears, R., Bifet, A., & Pfahringer, B. (2015). Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. In Proc 2015 International Joint Conference on Neural Networks (pp. 1-8). Conference held Killarney, Ireland: IEEE. doi:10.1109/IJCNN.2015.7280583 Open Access version:

  • Ienco, D., Bifet, A., Pfahringer, B., & Poncelet, P. (2014). Détection de changements dans des flots de données qualitatives. Revue des Nouvelles Technologies de l'Information, EGC 2014, RNTI-E-26, 517-520. Retrieved from

  • Read, J., Bifet, A., Holmes, G., & Pfahringer, B. (2012). Scalable and efficient multi-label classification for evolving data streams. Machine Learning, 88(1-2), 243-272. doi:10.1007/s10994-012-5279-6 Open Access version:

Find more research publications by Albert Bifet