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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
238752009
Correlation-based feature selection for machine learning
MA Hall
University of Waikato, 1999
45131999
Correlation-based feature selection of discrete and numeric class machine learning
MA Hall
University of Waikato, Department of Computer Science, 2000
24612000
Logistic model trees
N Landwehr, M Hall, E Frank
Machine learning 59 (1), 161-205, 2005
17042005
Weka: Practical machine learning tools and techniques with Java implementations
IH Witten, E Frank, LE Trigg, MA Hall, G Holmes, SJ Cunningham
1660*1999
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
15332003
The WEKA workbench
E Frank, MA Hall, IH Witten
Morgan Kaufmann, 2016
14522016
Correlation-based feature subset selection for machine learning
MA Hall
Thesis submitted in partial fulfillment of the requirements of the degree of …, 1998
13041998
Data mining in bioinformatics using Weka
E Frank, M Hall, L Trigg, G Holmes, IH Witten
Bioinformatics 20 (15), 2479-2481, 2004
10892004
Flow clustering using machine learning techniques
A McGregor, M Hall, P Lorier, J Brunskill
International workshop on passive and active network measurement, 205-214, 2004
7602004
Feature selection for machine learning: comparing a correlation-based filter approach to the wrapper.
MA Hall, LA Smith
FLAIRS conference 1999, 235-239, 1999
7351999
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, 2009
6722009
A simple approach to ordinal classification
E Frank, M Hall
European conference on machine learning, 145-156, 2001
6682001
Data mining: practical machine learning tools and techniques
E Frank, MA Hall
Morgan Kaufmann, 2011
6512011
Practical feature subset selection for machine learning
MA Hall, LA Smith
Springer 20, 181-191, 1998
6241998
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
526*2008
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
4812005
Locally weighted naive bayes
E Frank, M Hall, B Pfahringer
arXiv preprint arXiv:1212.2487, 2012
4522012
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
4182010
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
3942018
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