Contact Details

Email: abifet@waikato.ac.nz
Room: FG.2.02
Phone: +64 7 838 4704
Extension: 4704
Website: http://albertbifet.com/

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: https://ai.waikato.ac.nz/

Recent Publications

• García-Martín, E., Bifet, A., & Lavesson, N. (2021). Energy modeling of Hoeffding tree ensembles. Intelligent Data Analysis, 25(1), 81-104. doi:10.3233/IDA-194890

• Halstead, B., Koh, Y. S., Riddle, P., Pears, R., Pechenizkiy, M., & Bifet, A. (2021). Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. Data Mining and Knowledge Discovery. doi:10.1007/s10618-021-00736-w

• Mordvanyuk, N., López, B., & Bifet, A. (2021). vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining. Expert Systems with Applications, 168. doi:10.1016/j.eswa.2020.114276

• Bahri, M., Bifet, A., Gama, J., Gomes, H. M., & Maniu, S. (2021). Data stream analysis: Foundations, major tasks and tools. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. doi:10.1002/widm.1405

Find more research publications by Albert Bifet