2026 Mark Hall: Engineering and Technology Researcher – H-Index, Publications & Awards

Overview

Mark Hall is affiliated with the University of Sydney in Australia and has contributed to research primarily in the fields of Computer Science and Arts and Humanities. Their work spans subfields such as Artificial Intelligence, Information Systems, Literature and Literary Theory, Museology, and Conservation.

Their research focuses on topics including Digital Humanities and Scholarship, Libraries and Information Services, Digital and Traditional Archives Management, Data Quality and Management, Big Data and Business Intelligence, Scientific Computing and Data Management, and Geographic Information Systems Studies.

Notable recent papers authored or co-authored by Mark Hall include:

Generating geographical location descriptions with spatial templates: a salient toponym driven approach (2021) published in International Journal of Geographical Information Systems
Metadaten-Workshop Zeitungen & Zeitschriften: Von Datenquellen zur Analyse und Visualisierung (2021) published in Zenodo (CERN European Organization for Nuclear Research)

Their frequent collaborators include Fabien Duchateau, Tanja Merčun, Thomas Risse, Corinna Dziudzia, and Toine Bogers.

Mark Hall has published in various venues relevant to their research interests, with frequent publications appearing in:

Zenodo (CERN European Organization for Nuclear Research)
International Journal of Geographical Information Systems
Journal of Applied Rehabilitation Counseling
International Journal on Digital Libraries
Medical and Veterinary Entomology

In addition to journal articles, Mark Hall has contributed to book publications. One such publication is the edited volume titled ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, published by Springer Science+Business Media in 2020.

Best Publications

Data Mining: Practical Machine Learning Tools and Techniques

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

39266
Citations
The WEKA data mining software: an update

Mark Hall;Eibe Frank;Geoffrey Holmes;Bernhard Pfahringer

25185
Citations
Correlation-based Feature Selection for Machine Learning

M. Hall

4478
Citations
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning

Mark A. Hall

2414
Citations
Logistic Model Trees

Niels Landwehr;Mark Hall;Eibe Frank

1823
Citations
Benchmarking attribute selection techniques for discrete class data mining

M.A. Hall;G. Holmes

1630
Citations
Logistic model trees

Niels Landwehr;Mark Hall;Eibe Frank

1598
Citations
Correlation-based Feature Subset Selection for Machine Learning

M. A. Hall

1327
Citations
Data mining in bioinformatics using Weka

Eibe Frank;Mark Hall;Len Trigg;Geoffrey Holmes

1168
Citations
Weka: Practical machine learning tools and techniques with Java implementations

Ian H. Witten;Eibe Frank;Leonard E. Trigg;Mark A. Hall

864
Citations
Flow Clustering Using Machine Learning Techniques

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

782
Citations
Weka-A Machine Learning Workbench for Data Mining

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

753
Citations
A Simple Approach to Ordinal Classification

Eibe Frank;Mark Hall

735
Citations
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper

Mark A. Hall;Lloyd A. Smith

714
Citations
Practical feature subset selection for machine learning

Mark A. Hall;Lloyd A. Smith

620
Citations
Gene selection from microarray data for cancer classification-a machine learning approach

Yu Wang;Igor V. Tetko;Mark A. Hall;Eibe Frank

529
Citations
Feature selection for discrete and numeric class machine learning

Mark A. Hall

506
Citations
WEKA---Experiences with a Java Open-Source Project

Remco R. Bouckaert;Eibe Frank;Mark A. Hall;Geoffrey Holmes

436
Citations
Generating Rule Sets from Model Trees

Geoffrey Holmes;Mark Hall;Eibe Frank

373
Citations
Locally weighted naive bayes

Eibe Frank;Mark Hall;Bernhard Pfahringer

355
Citations