Mark A. Hall

According to our database, Mark A. Hall authored at least 29 papers between 1995 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j.

Steven Lang, Felipe Bravo-Marquez, Christopher Beckham, Mark A. Hall, Eibe Frank

Knowl. Based Syst., 2019

2018

Lean versus agile production: flexibility trade-offs within the automotive supply chain.

Amir Qamar, Mark A. Hall, Simon Collinson

Int. J. Prod. Res., 2018

2011

Data mining: practical machine learning tools and techniques, 3rd Edition.

Ian H. Witten, Eibe Frank, Mark A. Hall

Morgan Kaufmann, Elsevier, ISBN: 9780123748560, 2011

2010

Weka-A Machine Learning Workbench for Data Mining.

Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

WEKA - Experiences with a Java Open-Source Project.

Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten

J. Mach. Learn. Res., 2010

2009

The WEKA data mining software: an update.

Mark A. Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten

SIGKDD Explor., 2009

Large-scale attribute selection using wrappers.

Martin Gütlein, Eibe Frank, Mark A. Hall, Andreas Karwath

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008

Combining Naive Bayes and Decision Tables.

Mark A. Hall, Eibe Frank

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Additive Regression Applied to a Large-Scale Collaborative Filtering Problem.

Eibe Frank, Mark A. Hall

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007

A decision tree-based attribute weighting filter for naive Bayes.

Mark A. Hall

Knowl. Based Syst., 2007

2005

Logistic Model Trees.

Niels Landwehr, Mark A. Hall, Eibe Frank

Mach. Learn., 2005

Gene selection from microarray data for cancer classification - a machine learning approach.

Yu Wang, Igor V. Tetko, Mark A. Hall, Eibe Frank, Axel Facius, Klaus F. X. Mayer, Hans-Werner Mewes

Comput. Biol. Chem., 2005

Speeding Up Logistic Model Tree Induction.

Marc Sumner, Eibe Frank, Mark A. Hall

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

WEKA - A Machine Learning Workbench for Data Mining.

Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Data mining in bioinformatics using Weka.

Eibe Frank, Mark A. Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten

Bioinform., 2004

Flow Clustering Using Machine Learning Techniques.

Anthony McGregor, Mark A. Hall, Perry Lorier, James Brunskill

Proceedings of the Passive and Active Network Measurement, 5th International Workshop, 2004

Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining.

Stefan Mutter, Mark A. Hall, Eibe Frank

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003

Benchmarking Attribute Selection Techniques for Discrete Class Data Mining.

Mark A. Hall, Geoffrey Holmes

IEEE Trans. Knowl. Data Eng., 2003

Locally Weighted Naive Bayes.

Eibe Frank, Mark A. Hall, Bernhard Pfahringer

Proceedings of the UAI '03, 2003

Visualizing Class Probability Estimators.

Eibe Frank, Mark A. Hall

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

2002

Multiclass Alternating Decision Trees.

Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall

Proceedings of the Machine Learning: ECML 2002, 2002

Racing Committees for Large Datasets.

Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark A. Hall

Proceedings of the Discovery Science, 5th International Conference, 2002

2001

Interactive machine learning: letting users build classifiers.

Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark A. Hall, Ian H. Witten

Int. J. Hum. Comput. Stud., 2001

Determining Progression in Glaucoma Using Visual Fields.

Andrew Turpin, Eibe Frank, Mark A. Hall, Ian H. Witten, Chris A. Johnson

Proceedings of the Knowledge Discovery and Data Mining, 2001

A Simple Approach to Ordinal Classification.

Eibe Frank, Mark A. Hall

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning.

Mark A. Hall

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper.

Mark A. Hall, Lloyd A. Smith

Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

Generating Rule Sets from Model Trees.

Geoffrey Holmes, Mark A. Hall, Eibe Frank

Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1995

Selection of Attributes for Modeling Bach Chorales by a Genetic Algorithm.

Mark A. Hall

Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995