Mark A. Hall

发表

WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python

Christopher Beckham, Eibe Frank, Mark A. Hall, 2016 .

A decision tree-based attribute weighting filter for naive Bayes

Mark A. Hall, M. Hall, 2006, Knowl. Based Syst..

Large-scale attribute selection using wrappers

Eibe Frank, Mark A. Hall, Andreas Karwath, 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

Evaluating the Donative Theory

Mark A. Hall, John D. Colombo, M. Hall, 2019, The Charitable Tax Exemption.

Trees and rules

Ian H. Witten, Chris Pal, Eibe Frank, 2017 .

The WEKA data mining software: an update

Ian H. Witten, Geoff Holmes, Bernhard Pfahringer, 2009, SKDD.

WEKA - Experiences with a Java Open-Source Project

Ian H. Witten, Geoff Holmes, Bernhard Pfahringer, 2010, J. Mach. Learn. Res..

Weka: Practical machine learning tools and techniques with Java implementations

Ian H. Witten, Sally Jo Cunningham, Geoffrey Holmes, 1999 .

Logistic Model Trees

Eibe Frank, Mark A. Hall, Niels Landwehr, 2003, Machine Learning.

Credibility: Evaluating what’s been learned

Ian H. Witten, Chris Pal, Eibe Frank, 2017 .

Benchmarking Attribute Selection Techniques for Discrete Class Data Mining

Geoff Holmes, Mark A. Hall, M. Hall, 2003, IEEE Trans. Knowl. Data Eng..

Combining Naive Bayes and Decision Tables

Eibe Frank, Mark A. Hall, Eibe Frank, 2008, FLAIRS.

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

Stefan Mutter, Eibe Frank, Mark A. Hall, 2004, Australian Conference on Artificial Intelligence.

Correlation-based Feature Selection for Machine Learning

Mark A. Hall, M. Hall, 2003 .

Logistic Model Trees

Eibe Frank, Mark A. Hall, Niels Landwehr, 2003, ECML.

Experiences with a weighted decision tree learner

Geoffrey Holmes, John G. Cleary, Mark A. Hall, 2001 .

Racing Committees for Large Datasets

Geoff Holmes, Eibe Frank, Mark A. Hall, 2002, Discovery Science.

Speeding Up Logistic Model Tree Induction

Eibe Frank, Mark A. Hall, Marc Sumner, 2005, PKDD.

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

Igor V. Tetko, Eibe Frank, Mark A. Hall, 2005, Comput. Biol. Chem..

Interactive machine learning: letting users build classifiers

Ian H. Witten, Geoff Holmes, Eibe Frank, 2002, Int. J. Hum. Comput. Stud..

Selection of attributes for modeling Bach chorales by a genetic algorithm

Mark A. Hall, 1995, Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques

Ian H. Witten, Chris Pal, Eibe Frank, 2016 .

Determining Progression in Glaucoma Using Visual Fields

Ian H. Witten, Andrew Turpin, Chris A. Johnson, 2001, PAKDD.

A logic boosting approach to inducing multiclass alternating decision trees

Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, 2002 .

Beyond supervised and unsupervised learning

Ian H. Witten, Chris Pal, Eibe Frank, 2017 .

Input: Concepts, instances, attributes

Ian H. Witten, Chris Pal, Eibe Frank, 2017 .

Data Mining: Practical Machine Learning Tools and Techniques, 3/E

Ian H. Witten, Eibe Frank, Mark A. Hall, 2014 .

Locally Weighted Naive Bayes pdf

Bernhard Pfahringer, Eibe Frank, Mark A. Hall, 2002, UAI.

Data mining in bioinformatics using Weka

Ian H. Witten, Geoff Holmes, Eibe Frank, 2004, Bioinform..

Moving on: applications and beyond

Ian H. Witten, Chris Pal, Eibe Frank, 2017 .

Visualizing Class Probability Estimators

Eibe Frank, Mark A. Hall, 2003, PKDD.

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

Ian H. Witten, Eibe Frank, Mark A. Hall, 1999 .

Generating Rule Sets from Model Trees

Geoff Holmes, Eibe Frank, Mark A. Hall, 1999, Australian Joint Conference on Artificial Intelligence.

Flow Clustering Using Machine Learning Techniques

Anthony McGregor, Mark A. Hall, Perry Lorier, 2004, PAM.

Multiclass Alternating Decision Trees

Geoff Holmes, Bernhard Pfahringer, Eibe Frank, 2002, ECML.

The Knowledge Flow Interface

Ian H. Witten, Eibe Frank, Mark A. Hall, 2011 .

A Simple Approach to Ordinal Classification

Eibe Frank, Mark A. Hall, Eibe Frank, 2001, ECML.

Benchmarking attribute selection techniques for data mining

Geoffrey Holmes, Mark A. Hall, M. Hall, 2000 .

WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j

Christopher Beckham, Felipe Bravo-Marquez, Eibe Frank, 2019, Knowl. Based Syst..

Implementing the Donative Theory

Mark A. Hall, John D. Colombo, M. Hall, 2019, The Charitable Tax Exemption.

Algorithms: The Basic Methods

Ian H. Witten, Chris Pal, Eibe Frank, 2017 .

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

Mark A. Hall, M. Hall, 1999, ICML.

Additive Regression Applied to a Large-Scale Collaborative Filtering Problem

Eibe Frank, Mark A. Hall, 2008, Australasian Conference on Artificial Intelligence.

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

Lloyd A. Smith, Mark A. Hall, L. A. Smith, 1999, FLAIRS.

Patient Trust in a Physician Scale

Mark A. Hall, Elizabeth Dugan, Felicia L. Trachtenberg, 2021 .