Mark A. Hall

According to our database1, Mark A. Hall authored at least 28 papers between 1995 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j.
Knowl. Based Syst., 2019

2011
Data mining: practical machine learning tools and techniques, 3rd Edition.
Morgan Kaufmann, Elsevier, ISBN: 9780123748560, 2011

2010
Weka-A Machine Learning Workbench for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

WEKA - Experiences with a Java Open-Source Project.
J. Mach. Learn. Res., 2010

2009
The WEKA data mining software: an update.
SIGKDD Explor., 2009

Large-scale attribute selection using wrappers.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008
Combining Naive Bayes and Decision Tables.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Additive Regression Applied to a Large-Scale Collaborative Filtering Problem.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
A decision tree-based attribute weighting filter for naive Bayes.
Knowl. Based Syst., 2007

2005
Logistic Model Trees.
Mach. Learn., 2005

Gene selection from microarray data for cancer classification - a machine learning approach.
Comput. Biol. Chem., 2005

Speeding Up Logistic Model Tree Induction.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

WEKA - A Machine Learning Workbench for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Data mining in bioinformatics using Weka.
Bioinform., 2004

Flow Clustering Using Machine Learning Techniques.
Proceedings of the Passive and Active Network Measurement, 5th International Workshop, 2004

Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining.
IEEE Trans. Knowl. Data Eng., 2003

Locally Weighted Naive Bayes.
Proceedings of the UAI '03, 2003

Visualizing Class Probability Estimators.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

2002
Multiclass Alternating Decision Trees.
Proceedings of the Machine Learning: ECML 2002, 2002

Racing Committees for Large Datasets.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Interactive machine learning: letting users build classifiers.
Int. J. Hum. Comput. Stud., 2001

Determining Progression in Glaucoma Using Visual Fields.
Proceedings of the Knowledge Discovery and Data Mining, 2001

A Simple Approach to Ordinal Classification.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning.
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.
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

Generating Rule Sets from Model Trees.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1995
Selection of Attributes for Modeling Bach Chorales by a Genetic Algorithm.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995


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