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ORCIDMark A. Hall
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- affiliation: University of Waikato, Hamilton, New Zealand
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2010 – 2019
- 2019
[j10]Steven Lang, Felipe Bravo-Marquez, Christopher Beckham, Mark A. Hall, Eibe Frank:
WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j. Knowl. Based Syst. 178: 48-50 (2019)- 2018
- [j9]Amir Qamar
, Mark A. Hall, Simon Collinson:
Lean versus agile production: flexibility trade-offs within the automotive supply chain. Int. J. Prod. Res. 56(11): 3974-3993 (2018) - 2012
- [i1]Eibe Frank, Mark A. Hall, Bernhard Pfahringer:
Locally Weighted Naive Bayes. CoRR abs/1212.2487 (2012) - 2011
- [b1]Ian H. Witten, Eibe Frank, Mark A. Hall:
Data mining: practical machine learning tools and techniques, 3rd Edition. Morgan Kaufmann, Elsevier 2011, ISBN 9780123748560, pp. I-XXXIII, 1-629 - 2010
- [j8]Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten:
WEKA - Experiences with a Java Open-Source Project. J. Mach. Learn. Res. 11: 2533-2541 (2010) - [p2]Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg:
Weka-A Machine Learning Workbench for Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 1269-1277
2000 – 2009
- 2009
- [j7]Mark A. Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten:
The WEKA data mining software: an update. SIGKDD Explor. 11(1): 10-18 (2009) - [c18]Martin Gütlein, Eibe Frank, Mark A. Hall, Andreas Karwath:
Large-scale attribute selection using wrappers. CIDM 2009: 332-339 - 2008
- [c17]Eibe Frank, Mark A. Hall:
Additive Regression Applied to a Large-Scale Collaborative Filtering Problem. Australasian Conference on Artificial Intelligence 2008: 435-446 - [c16]Mark A. Hall, Eibe Frank:
Combining Naive Bayes and Decision Tables. FLAIRS 2008: 318-319 - 2007
- [j6]Mark A. Hall:
A decision tree-based attribute weighting filter for naive Bayes. Knowl. Based Syst. 20(2): 120-126 (2007) - 2006
- [c15]Mark A. Hall:
A Decision Tree-Based Attribute Weighting Filter for Naive Bayes. SGAI Conf. 2006: 59-70 - 2005
- [j5]Yu Wang, Igor V. Tetko, Mark A. Hall, Eibe Frank, Axel Facius, Klaus F. X. Mayer, Hans-Werner Mewes:
Gene selection from microarray data for cancer classification - a machine learning approach. Comput. Biol. Chem. 29(1): 37-46 (2005) - [j4]Niels Landwehr, Mark A. Hall, Eibe Frank:
Logistic Model Trees. Mach. Learn. 59(1-2): 161-205 (2005) - [c14]Marc Sumner, Eibe Frank, Mark A. Hall:
Speeding Up Logistic Model Tree Induction. PKDD 2005: 675-683 - [p1]Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer:
WEKA - A Machine Learning Workbench for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 1305-1314 - 2004
- [j3]Eibe Frank, Mark A. Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten:
Data mining in bioinformatics using Weka. Bioinform. 20(15): 2479-2481 (2004) - [c13]Stefan Mutter, Mark A. Hall, Eibe Frank:
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining. Australian Conference on Artificial Intelligence 2004: 538-549 - [c12]Anthony McGregor, Mark A. Hall, Perry Lorier, James Brunskill:
Flow Clustering Using Machine Learning Techniques. PAM 2004: 205-214 - 2003
- [j2]Mark A. Hall, Geoffrey Holmes:
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. IEEE Trans. Knowl. Data Eng. 15(6): 1437-1447 (2003) - [c11]Niels Landwehr, Mark A. Hall, Eibe Frank:
Logistic Model Trees. ECML 2003: 241-252 - [c10]Eibe Frank, Mark A. Hall:
Visualizing Class Probability Estimators. PKDD 2003: 168-179 - [c9]Eibe Frank, Mark A. Hall, Bernhard Pfahringer:
Locally Weighted Naive Bayes. UAI 2003: 249-256 - 2002
- [c8]Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark A. Hall:
Racing Committees for Large Datasets. Discovery Science 2002: 153-164 - [c7]Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall:
Multiclass Alternating Decision Trees. ECML 2002: 161-172 - 2001
- [j1]Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark A. Hall, Ian H. Witten:
Interactive machine learning: letting users build classifiers. Int. J. Hum. Comput. Stud. 55(3): 281-292 (2001) - [c6]Eibe Frank, Mark A. Hall:
A Simple Approach to Ordinal Classification. ECML 2001: 145-156 - [c5]Andrew Turpin, Eibe Frank, Mark A. Hall, Ian H. Witten, Chris A. Johnson:
Determining Progression in Glaucoma Using Visual Fields. PAKDD 2001: 136-147 - 2000
- [c4]Mark A. Hall:
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. ICML 2000: 359-366
1990 – 1999
- 1999
- [c3]Geoffrey Holmes, Mark A. Hall, Eibe Frank:
Generating Rule Sets from Model Trees. Australian Joint Conference on Artificial Intelligence 1999: 1-12 - [c2]Mark A. Hall, Lloyd A. Smith:
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper. FLAIRS 1999: 235-239 - 1995
- [c1]Mark A. Hall:
Selection of Attributes for Modeling Bach Chorales by a Genetic Algorithm. ANNES 1995: 182-189
Coauthor Index
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