Eibe Frank

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Ian H. WittenProfessor of Computer Science, University of Waikato, New ZealandVerified email at waikato.ac.nz
Mark HallHonorary Research Associate, University of Waikato, New ZealandVerified email at cs.waikato.ac.nz
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairVerified email at polymtl.ca
Len TriggDirector of Research & Development, Real Time GenomicsVerified email at realtimegenomics.com
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Remco BouckaertVerified email at cs.auckland.ac.nz
Carl GutwinUniversity of SaskatchewanVerified email at cs.usask.ca
Gordon W. PaynterCurrently unaffiliatedVerified email at paynter.info
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Rory MitchellNvidiaVerified email at nvidia.com
Niels LandwehrProfessor, University of HildesheimVerified email at uni-hildesheim.de
Craig Nevill-ManningGoogleVerified email at nevill-manning.com
Felipe Bravo-MarquezAssociate Professor, University of ChileVerified email at dcc.uchile.cl
Henry GoukAssistant Professor, University of EdinburghVerified email at ed.ac.uk
Ashraf KibriyaVerified email at kaust.edu.sa
Michael CreeAssociate Professor in Engineering, University of WaikatoVerified email at waikato.ac.nz
Nick Lim Jin SeanUniversity of WaikatoVerified email at waikato.ac.nz

Eibe Frank

Professor, Department of Computer Science, University of Waikato

Verified email at cs.waikato.ac.nz - Homepage

Machine Learning Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Data mining: Practical machine learning tools and techniques IH Witten, E Frank 2nd Edition, Morgan Kaufmann, 2005	51789*	2005
Data mining: Practical machine learning tools and techniques IH Witten, E Frank, MA Hall, CJ Pal 4th Edition, Morgan Kaufmann, 2016	51569*	2016
Data Mining: Practical Machine Learning Tools and Technologies with Java Implementations IH Witten, E Frank Morgan Kaufmann, 2000	50307*	2000
Data Mining: Practical machine learning tools and techniques IH Witten, E Frank, MA Hall 3rd Edition, Morgan Kaufmann, 2011	50121*	2011
The WEKA data mining software: an update M Hall, E Frank, G Holmes, B Pfahringer, P Reutemann, IH Witten ACM SIGKDD Explorations Newsletter 11 (1), 10-18, 2009	25676	2009
The WEKA Workbench E Frank, MA Hall, IH Witten Data Mining: Practical Machine Learning Tools and Techniques, Online Appendix, 2016	2954*	2016
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Machine learning 85 (3), 333-359, 2011	2518	2011
Generating accurate rule sets without global optimization E Frank, IH Witten International Conference on Machine Learning, 144-151, 1998	1981	1998
Logistic Model Trees N Landwehr, M Hall, E Frank Proceedings of the European Conference on Machine Learning, 241-252, 2003	1930	2003
Logistic model trees N Landwehr, M Hall, E Frank Machine Learning 59 (1-2), 161-205, 2005	1723	2005
Practical automatic keyphrase extraction IH Witten, GW Paynter, E Frank, C Gutwin, CGK Nevill-Manning, S Jones Proceeding of fourth ACM conference on Digital libraries, 2000	1646*	2000
Data mining in bioinformatics using Weka E Frank, M Hall, L Trigg, G Holmes, IH Witten Bioinformatics 20 (15), 2479-2481, 2004	1184	2004
Domain-specific keyphrase extraction E Frank, GW Paynter, IH Witten, C Gutwin, CG Nevill-Manning Proceeding of 16th International Joint Conference on Artificial Intelligence …, 1999	1157*	1999
Classifier chains for multi-label classification J Read, B Pfahringer, G Holmes, E Frank Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009	1077	2009
Weka: Practical machine learning tools and techniques with java implementations IH Witten, E Frank, L Trigg, M Hall, G Holmes, SJ Cunningham Proc ICONIP/ANZIIS/ANNES99 Future Directions for Intelligent Systems and …, 1999	982	1999
Weka-a machine learning workbench for data mining E Frank, M Hall, G Holmes, R Kirkby, B Pfahringer, IH Witten, L Trigg Data Mining and Knowledge Discovery Handbook, 1269-1277, 2010	873	2010
Sentiment knowledge discovery in Twitter streaming data A Bifet, E Frank Discovery Science, 1-15, 2010	859	2010
A simple approach to ordinal classification E Frank, M Hall Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001	836	2001
Weka manual RR Bouckaert, E Frank, M Hall, R Kirkby, P Reutemann, A Seewald, ... University of Waikato, Hamilton, New Zealand, 2008	747*	2008
Multinomial naive Bayes for text categorization revisited AM Kibriya, E Frank, B Pfahringer, G Holmes Lecture notes in computer science, 488-499, 2004	680	2004

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