Albert Bifet

Cited by

	All	Since 2016
Citations	13178	9310
h-index	44	37
i10-index	89	77

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20072008200920102011201220132014201520162017201820192020202141 32 76 151 222 405 548 855 1149 1379 1417 1842 2143 2187 331

Co-authors

Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Joao GamaProfessor, Faculty of Economics, University of PortoVerified email at fep.up.pt
Ricard GavaldàUniversitat Politècnica de CatalunyaVerified email at cs.upc.edu
Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
Heitor Murilo GomesSenior Research Fellow, Department of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Philipp KranenMicrosoft ResearchVerified email at microsoft.com
Talel AbdessalemTélécom Paris, Institut Polytechnique de ParisVerified email at telecom-paris.fr
Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), GermanyVerified email at dbs.ifi.lmu.de
Hardy KremerDeloitte Analytics Institute, GermanyVerified email at deloitte.de
Gianmarco De Francisci MoralesSenior Researcher, ISI FoundationVerified email at acm.org
Wei FanTencent Medical AI LabVerified email at tencent.com
Jean Paul BarddalPrograma de Pós-Graduação em Informática (PPGIa), Pontifícia Universidade Católica do ParanáVerified email at ppgia.pucpr.br
Eibe FrankProfessor, Department of Computer Science, University of WaikatoVerified email at cs.waikato.ac.nz
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Fabrício EnembreckPontificia Universidade Católica do ParanáVerified email at ppgia.pucpr.br
Manuel Baena GarcíaUniversidad de MálagaVerified email at uma.es
José del Campo ÁvilaUniversidad de MálagaVerified email at lcc.uma.es
Rafael Morales-BuenoCatedrático de Lenguajes y Sistemas Informáticos, Universidad de MálagaVerified email at uma.es

Albert Bifet

Télécom ParisTech & University of Waikato

Verified email at telecom-paristech.fr - Homepage

Data Stream Mining IoT Analytics AI Concept Drift Big Data


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A survey on concept drift adaptation J Gama, I Žliobaitė, A Bifet, M Pechenizkiy, A Bouchachia ACM computing surveys (CSUR) 46 (4), 1-37, 2014	1705	2014
Moa: Massive online analysis, a framework for stream classification and clustering A Bifet, G Holmes, B Pfahringer, P Kranen, H Kremer, T Jansen, T Seidl Proceedings of the First Workshop on Applications of Pattern Analysis, 44-50, 2010	1619	2010
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	1069	2007
Mining big data: current status, and forecast to the future W Fan, A Bifet ACM SIGKDD explorations newsletter 14 (2), 1-5, 2013	908	2013
Sentiment knowledge discovery in twitter streaming data A Bifet, E Frank International conference on discovery science, 1-15, 2010	694	2010
New ensemble methods for evolving data streams A Bifet, G Holmes, B Pfahringer, R Kirkby, R Gavalda Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	644	2009
Early drift detection method M Baena-Garcıa, J del Campo-Ávila, R Fidalgo, A Bifet, R Gavalda, ... Fourth international workshop on knowledge discovery from data streams 6, 77-86, 2006	614	2006
Adaptive learning from evolving data streams A Bifet, R Gavalda International Symposium on Intelligent Data Analysis, 249-260, 2009	350	2009
Preliminary Mariner 9 report on the geology of Mars JF McCauley, MH Carr, JA Cutts, WK Hartmann, H Masursky, DJ Milton, ... Icarus 17 (2), 289-327, 1972	315	1972
Active learning with drifting streaming data I Žliobaitė, A Bifet, B Pfahringer, G Holmes IEEE transactions on neural networks and learning systems 25 (1), 27-39, 2013	290	2013
Leveraging bagging for evolving data streams A Bifet, G Holmes, B Pfahringer Joint European conference on machine learning and knowledge discovery in …, 2010	260	2010
A survey on ensemble learning for data stream classification HM Gomes, JP Barddal, F Enembreck, A Bifet ACM Computing Surveys (CSUR) 50 (2), 1-36, 2017	245	2017
Data stream mining a practical approach A Bifet, R Kirkby	237	2009
Adaptive random forests for evolving data stream classification HM Gomes, A Bifet, J Read, JP Barddal, F Enembreck, B Pfharinger, ... Machine Learning 106 (9), 1469-1495, 2017	231	2017
SAMOA: scalable advanced massive online analysis. GDF Morales, A Bifet J. Mach. Learn. Res. 16 (1), 149-153, 2015	189	2015
Mining big data in real time A Bifet Informatica 37 (1), 2013	186	2013
Adaptive stream mining: Pattern learning and mining from evolving data streams A Bifet Ios Press, 2010	174	2010
Efficient online evaluation of big data stream classifiers A Bifet, G de Francisci Morales, J Read, G Holmes, B Pfahringer Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	139	2015
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	129	2012
Batch-incremental versus instance-incremental learning in dynamic and evolving data J Read, A Bifet, B Pfahringer, G Holmes International symposium on intelligent data analysis, 313-323, 2012	111	2012

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