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
448072002
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
228012009
Correlation-based feature selection for machine learning
MA Hall
University of Waikato, 1999
40571999
Data mining and knowledge discovery handbook
O Maimon, L Rokach
Springer 2 (2005), 2005
3090*2005
Correlation-based feature selection of discrete and numeric class machine learning
MA Hall
University of Waikato, Department of Computer Science, 2000
22312000
Logistic model trees
N Landwehr, M Hall, E Frank
Machine learning 59 (1-2), 161-205, 2005
15352005
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
14552003
Correlation-based feature subset selection for machine learning
MA Hall
Thesis submitted in partial fulfillment of the requirements of the degree of …, 1998
12481998
The WEKA workbench
E Frank, MA Hall, IH Witten
Morgan Kaufmann, 2016
11412016
Data mining in bioinformatics using Weka
E Frank, M Hall, L Trigg, G Holmes, IH Witten
Bioinformatics 20 (15), 2479-2481, 2004
10212004
Data mining
E Frank, MHAC Pal
Morgan Kaufmann, 2005
881*2005
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
7242004
Feature selection for machine learning: comparing a correlation-based filter approach to the wrapper.
MA Hall, LA Smith
FLAIRS conference 1999, 235-239, 1999
6571999
A simple approach to ordinal classification
E Frank, M Hall
European conference on machine learning, 145-156, 2001
5712001
Practical feature subset selection for machine learning
MA Hall, LA Smith
Springer 20, 181-191, 1998
5591998
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
465*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
4532005
Locally weighted naive bayes
E Frank, M Hall, B Pfahringer
arXiv preprint arXiv:1212.2487, 2012
4292012
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
4052010
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
3951988
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