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
Data mining: practical machine learning tools and techniques with Java implementations
IH Witten, E Frank
Acm Sigmod Record 31 (1), 76-77, 2002
412232002
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
211632009
Correlation-based feature selection for machine learning
MA Hall
University of Waikato, 1999
36061999
Data mining and knowledge discovery handbook
O Maimon, L Rokach
springer 2 (2005), 2005
2686*2005
Correlation-based feature selection of discrete and numeric class machine learning
MA Hall
University of Waikato, Department of Computer Science, 2000
19892000
Logistic model trees
N Landwehr, M Hall, E Frank
Machine learning 59 (1-2), 161-205, 2005
13622005
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
13532003
Correlation-based feature subset selection for machine learning
MA Hall
Thesis submitted in partial fulfillment of the requirements of the degree of …, 1998
11671998
Data mining in bioinformatics using Weka
E Frank, M Hall, L Trigg, G Holmes, IH Witten
Bioinformatics 20 (15), 2479-2481, 2004
9382004
Data mining: Practical machine learning tools and techniques
H Ian, F Eibe, AH Mark
Morgan Kaufmann, San Francisco, 2005
912*2005
The WEKA workbench
E Frank, MA Hall, IH Witten
Morgan Kaufmann, 2016
8502016
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
6732004
Feature selection for machine learning: comparing a correlation-based filter approach to the wrapper.
MA Hall, LA Smith
FLAIRS conference 1999, 235-239, 1999
5741999
Practical feature subset selection for machine learning
MA Hall, LA Smith
Springer 20, 181-191, 1998
5021998
A simple approach to ordinal classification
E Frank, M Hall
European Conference on Machine Learning, 145-156, 2001
4922001
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
4172005
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, 63, 2008
408*2008
Locally weighted naive bayes
E Frank, M Hall, B Pfahringer
Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002
3952002
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
3782010
Chest pain: relationship of psychiatric illness to coronary arteriographic results
W Katon, ML Hall, J Russo, L Cormier, M Hollifield, PP Vitaliano, ...
The American journal of medicine 84 (1), 1-9, 1988
3701988
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