Obserwuj
Eibe Frank
Eibe Frank
Professor, Department of Computer Science, University of Waikato
Zweryfikowany adres z cs.waikato.ac.nz - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Data mining: Practical machine learning tools and techniques
IH Witten, E Frank
2nd Edition, Morgan Kaufmann, 2005
51847*2005
Data mining: Practical machine learning tools and techniques
IH Witten, E Frank, MA Hall, CJ Pal
4th Edition, Morgan Kaufmann, 2016
51532*2016
Data Mining: Practical Machine Learning Tools and Technologies with Java Implementations
IH Witten, E Frank
Morgan Kaufmann, 2000
50260*2000
Data Mining: Practical machine learning tools and techniques
IH Witten, E Frank, MA Hall
3rd Edition, Morgan Kaufmann, 2011
50073*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
257022009
The WEKA Workbench
E Frank, MA Hall, IH Witten
Data Mining: Practical Machine Learning Tools and Techniques, Online Appendix, 2016
2965*2016
Classifier chains for multi-label classification
J Read, B Pfahringer, G Holmes, E Frank
Machine learning 85 (3), 333-359, 2011
25242011
Generating accurate rule sets without global optimization
E Frank, IH Witten
International Conference on Machine Learning, 144-151, 1998
19831998
Logistic Model Trees
N Landwehr, M Hall, E Frank
Proceedings of the European Conference on Machine Learning, 241-252, 2003
19352003
Logistic model trees
N Landwehr, M Hall, E Frank
Machine Learning 59 (1-2), 161-205, 2005
17282005
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
1647*2000
Data mining in bioinformatics using Weka
E Frank, M Hall, L Trigg, G Holmes, IH Witten
Bioinformatics 20 (15), 2479-2481, 2004
11852004
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
1160*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
10802009
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
9821999
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
8752010
Sentiment knowledge discovery in Twitter streaming data
A Bifet, E Frank
Discovery Science, 1-15, 2010
8592010
A simple approach to ordinal classification
E Frank, M Hall
Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001
8382001
Weka manual
RR Bouckaert, E Frank, M Hall, R Kirkby, P Reutemann, A Seewald, ...
University of Waikato, Hamilton, New Zealand, 2008
748*2008
Multinomial naive Bayes for text categorization revisited
AM Kibriya, E Frank, B Pfahringer, G Holmes
Lecture notes in computer science, 488-499, 2004
6832004
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