Albert Bifet is Professor at University of Waikato and LTCI, Telecom ParisTech. 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 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 and Apache SAMOA 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 BigMine (2017, 2016, 2015, 2014, 2013, 2012), and ACM SAC Data Streams Track (2017, 2016, 2015, 2014, 2013, 2012).
研究方向
Data Stream Mining TechniquesTime Series Analysis and ForecastingAnomaly Detection Techniques and ApplicationsMachine Learning and Data ClassificationData Mining Algorithms and Applications
