Albert Bifet
Albert Bifet
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TítuloCitado porAño
Moa: Massive online analysis
A Bifet, G Holmes, R Kirkby, B Pfahringer
Journal of Machine Learning Research 11 (May), 1601-1604, 2010
10422010
A survey on concept drift adaptation
J Gama, I Žliobaitė, A Bifet, M Pechenizkiy, A Bouchachia
ACM computing surveys (CSUR) 46 (4), 44, 2014
7722014
Learning from time-changing data with adaptive windowing
A Bifet, R Gavalda
Proceedings of the 2007 SIAM international conference on data mining, 443-448, 2007
6232007
Mining big data: current status, and forecast to the future
W Fan, A Bifet
ACM sIGKDD Explorations Newsletter 14 (2), 1-5, 2013
5952013
Sentiment knowledge discovery in twitter streaming data
A Bifet, E Frank
International conference on discovery science, 1-15, 2010
5312010
New ensemble methods for evolving data streams
A Bifet, G Holmes, B Pfahringer, R Kirkby, R Gavaldà
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
4822009
Early drift detection method
M Baena-García, J del Campo-Ávila, R Fidalgo, A Bifet, R Gavaldà, ...
3992006
Data stream mining a practical approach
A Bifet, R Kirkby
1982009
Active learning with drifting streaming data
I Zliobaite, A Bifet, B Pfahringer, G Holmes
IEEE transactions on neural networks and learning systems 25 (1), 27-39, 2014
1782014
Adaptive learning from evolving data streams
A Bifet, R Gavaldà
International Symposium on Intelligent Data Analysis, 249-260, 2009
1752009
Leveraging bagging for evolving data streams
A Bifet, G Holmes, B Pfahringer
Joint European conference on machine learning and knowledge discovery in …, 2010
1442010
Mining big data in real time
A Bifet
Informatica 37 (1), 2013
1252013
Adaptive stream mining: Pattern learning and mining from evolving data streams
A Bifet
Proceedings of the 2010 conference on adaptive stream mining: Pattern …, 2010
1242010
SAMOA: scalable advanced massive online analysis.
GDF Morales, A Bifet
Journal of Machine Learning Research 16 (1), 149-153, 2015
1042015
Adaptive learning and mining for data streams and frequent patterns
A Bifet
ACM SIGKDD Explorations Newsletter 11 (1), 55-56, 2009
802009
Scalable and efficient multi-label classification for evolving data streams
J Read, A Bifet, G Holmes, B Pfahringer
Machine Learning 88 (1-2), 243-272, 2012
782012
Fast perceptron decision tree learning from evolving data streams
A Bifet, G Holmes, B Pfahringer, E Frank
Pacific-Asia conference on knowledge discovery and data mining, 299-310, 2010
782010
Mining frequent closed graphs on evolving data streams
A Bifet, G Holmes, B Pfahringer, R Gavaldà
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
772011
An effective evaluation measure for clustering on evolving data streams
H Kremer, P Kranen, T Jansen, T Seidl, A Bifet, G Holmes, B Pfahringer
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
742011
Active learning with evolving streaming data
I Žliobaitė, A Bifet, B Pfahringer, G Holmes
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
732011
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