Mark A. Hall
#165,756
Most Influential Person Now
Mark A. Hall's AcademicInfluence.com Rankings
Mark A. Hallcomputer-science Degrees
Computer Science
#9921
World Rank
#10408
Historical Rank
Data Mining
#239
World Rank
#240
Historical Rank
Machine Learning
#4470
World Rank
#4520
Historical Rank
Database
#6876
World Rank
#7115
Historical Rank

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Computer Science
Mark A. Hall's Degrees
- PhD Computer Science University of Waikato
- Masters Computer Science University of Waikato
- Bachelors Computer Science University of Waikato
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Why Is Mark A. Hall Influential?
(Suggest an Edit or Addition)Mark A. Hall's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- The WEKA data mining software: an update (2009) (20361)
- Data mining: practical machine learning tools and techniques, 3rd Edition (1999) (12318)
- Correlation-based Feature Selection for Machine Learning (2003) (3775)
- Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning (1999) (1947)
- Logistic Model Trees (2003) (1410)
- Benchmarking Attribute Selection Techniques for Discrete Class Data Mining (2003) (1264)
- Data mining in bioinformatics using Weka (2004) (918)
- Data Mining: Practical Machine Learning Tools and Techniques, 3/E (2014) (835)
- Weka: Practical machine learning tools and techniques with Java implementations (1999) (803)
- Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper (1999) (607)
- Flow Clustering Using Machine Learning Techniques (2004) (576)
- A Simple Approach to Ordinal Classification (2001) (553)
- Practical feature subset selection for machine learning (1998) (549)
- Weka-A Machine Learning Workbench for Data Mining (2005) (482)
- Gene selection from microarray data for cancer classification - a machine learning approach (2005) (414)
- Locally Weighted Naive Bayes (2002) (361)
- WEKA - Experiences with a Java Open-Source Project (2010) (341)
- Feature Subset Selection: A Correlation Based Filter Approach (1997) (309)
- Speeding Up Logistic Model Tree Induction (2005) (290)
- Generating Rule Sets from Model Trees (1999) (285)
- Large-scale attribute selection using wrappers (2009) (253)
- Multiclass Alternating Decision Trees (2002) (211)
- Interactive machine learning: letting users build classifiers (2002) (201)
- Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques (2016) (179)
- A decision tree-based attribute weighting filter for naive Bayes (2006) (179)
- Combining Naive Bayes and Decision Tables (2008) (153)
- WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j (2019) (85)
- Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining (2004) (59)
- Benchmarking attribute selection techniques for data mining (2000) (55)
- Credibility: Evaluating what’s been learned (2017) (23)
- Visualizing Class Probability Estimators (2003) (20)
- Racing Committees for Large Datasets (2002) (20)
- Algorithms: The Basic Methods (2017) (16)
- Determining Progression in Glaucoma Using Visual Fields (2001) (11)
- WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python (2016) (11)
- Additive Regression Applied to a Large-Scale Collaborative Filtering Problem (2008) (10)
- WekaDeeplearning 4 j : a Deep Learning Package for Weka based on DeepLearning 4 j (2019) (7)
- Extending instance-based and linear models (2017) (7)
- Selection of attributes for modeling Bach chorales by a genetic algorithm (1995) (6)
- Experiences with a weighted decision tree learner (2001) (4)
- Beyond supervised and unsupervised learning (2017) (4)
- Subset Selection : A Correlation Based Filter Approach (1997) (3)
- Trees and rules (2017) (3)
- The Knowledge Flow Interface (2011) (3)
- Output: Knowledge representation (2017) (2)
- Moving on: applications and beyond (2017) (2)
- Correlation-based Feature Sele tion for Dis reteand Numeri Class (2000) (1)
- Input: Concepts, instances, attributes (2017) (1)
- Fostering high-impact machine learning ecosystem in subsurface science and engineering (2017) (0)
- A Simple Approach to Ordinal Classi(cid:12)cation (2001) (0)
- Determining Progression in Glau omaUsing Visual (2007) (0)
- Classification Maximum-Likelihood Clustering: An Example using Compositional Data from Kasori E Pottery (2001) (0)
- A logic boosting approach to inducing multiclass alternating decision trees (2002) (0)
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