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Mark Hall
Mark Hall
Honorary Research Associate, University of Waikato, New Zealand
Verified email at cs.waikato.ac.nz
Title
Cited by
Cited by
Year
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
243052009
Correlation-based feature selection for machine learning
MA Hall
The University of Waikato, 1999
46531999
Correlation-based feature selection of discrete and numeric class machine learning
MA Hall
University of Waikato, Department of Computer Science, 2000
24622000
Logistic model trees
N Landwehr, M Hall, E Frank
Machine learning 59, 161-205, 2005
17452005
Practical machine learning tools and techniques
IH Witten, E Frank, MA Hall, CJ Pal, M DATA
Data Mining 2 (4), 2005
1697*2005
Benchmarking attribute selection techniques for discrete class data mining
MA Hall, G Holmes
IEEE Transactions on Knowledge and Data engineering 15 (6), 1437-1447, 2003
15582003
The WEKA workbench
E Frank, MA Hall, IH Witten
Morgan Kaufmann, 2016
15502016
Correlation-based feature subset selection for machine learning
MA Hall
Thesis submitted in partial fulfillment of the requirements of the degree of …, 1998
13281998
Data mining in bioinformatics using Weka
E Frank, M Hall, L Trigg, G Holmes, IH Witten
Bioinformatics 20 (15), 2479-2481, 2004
11152004
Flow clustering using machine learning techniques
A McGregor, M Hall, P Lorier, J Brunskill
Passive and Active Network Measurement: 5th International Workshop, PAM 2004 …, 2004
7692004
Feature selection for machine learning: comparing a correlation-based filter approach to the wrapper.
MA Hall, LA Smith
FLAIRS conference 1999, 235-239, 1999
7631999
A simple approach to ordinal classification
E Frank, M Hall
Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001
7092001
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
7052010
Practical feature subset selection for machine learning
MA Hall, LA Smith
Springer 20, 181-191, 1998
6481998
Weka manual for version 3-6-0
RR Bouckaert, E Frank, M Hall, R Kirkby, P Reutemann, A Seewald, ...
University of Waikato, Hamilton, New Zealand 2, 2008
540*2008
Data mining: practical machine learning tools and techniques
E Frank, MA Hall
Morgan Kaufmann, 2011
5212011
Gene selection from microarray data for cancer classification—a machine learning approach
Y Wang, IV Tetko, MA Hall, E Frank, A Facius, KFX Mayer, HW Mewes
Computational biology and chemistry 29 (1), 37-46, 2005
4912005
A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form
HL O’Brien, P Cairns, M Hall
International Journal of Human-Computer Studies 112, 28-39, 2018
4852018
Locally weighted naive bayes
E Frank, M Hall, B Pfahringer
arXiv preprint arXiv:1212.2487, 2012
4642012
WEKA---Experiences with a Java Open-Source Project
RR Bouckaert, E Frank, MA Hall, G Holmes, B Pfahringer, P Reutemann, ...
The Journal of Machine Learning Research 11, 2533-2541, 2010
4282010
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