| Data Mining: Practical machine learning tools and techniques IH Witten, E Frank, MA Hall, CJ Pal Morgan Kaufmann, 2016 | 38872 | 2016 |
| The WEKA data mining software: an update M Hall, E Frank, G Holmes, B Pfahringer, P Reutemann, IH Witten ACM SIGKDD explorations newsletter 11 (1), 10-18, 2009 | 19849 | 2009 |
| Correlation-based feature selection for machine learning MA Hall University of Waikato, 1999 | 3298 | 1999 |
| Data mining and knowledge discovery handbook O Maimon, L Rokach Springer 2 (2005), 2005 | 2433* | 2005 |
| Correlation-based feature selection of discrete and numeric class machine learning MA Hall University of Waikato, Department of Computer Science, 2000 | 1865 | 2000 |
| Benchmarking attribute selection techniques for discrete class data mining MA Hall, G Holmes IEEE Transactions on Knowledge and Data engineering 15 (6), 1437-1447, 2003 | 1280 | 2003 |
| Logistic model trees N Landwehr, M Hall, E Frank Machine learning 59 (1-2), 161-205, 2005 | 1239 | 2005 |
| Correlation-based feature subset selection for machine learning MA Hall Thesis submitted in partial fulfillment of the requirements of the degree of …, 1998 | 1100 | 1998 |
| Data mining in bioinformatics using Weka E Frank, M Hall, L Trigg, G Holmes, IH Witten Bioinformatics 20 (15), 2479-2481, 2004 | 888 | 2004 |
| The WEKA workbench E Frank, MA Hall, IH Witten Morgan Kaufmann, 2016 | 747 | 2016 |
| Flow clustering using machine learning techniques A McGregor, M Hall, P Lorier, J Brunskill International workshop on passive and active network measurement, 205-214, 2004 | 653 | 2004 |
| Feature selection for machine learning: comparing a correlation-based filter approach to the wrapper. MA Hall, LA Smith FLAIRS conference 1999, 235-239, 1999 | 525 | 1999 |
| Data Mining: Practical Machine Learning Tools and Techniques. Y Zhang, D Lv, R Guo, TG Dietterich, ZH Zhou, C Zhang, Y Ma, ... Journal of Software Engineering 11 (1), 97-136, 1997 | 508 | 1997 |
| Practical feature subset selection for machine learning MA Hall, LA Smith Springer 20, 181-191, 1998 | 464 | 1998 |
| A simple approach to ordinal classification E Frank, M Hall European Conference on Machine Learning, 145-156, 2001 | 458 | 2001 |
| Gene selection from microarray data for cancer classification—a machine learning approach Y Wang, IV Tetko, MA Hall, E Frank, A Facius, KFX Mayer, HW Mewes Computational biology and chemistry 29 (1), 37-46, 2005 | 393 | 2005 |
| WEKA manual for version 3-9-1 RR Bouckaert, E Frank, M Hall, R Kirkby, P Reutemann, A Seewald, ... The University of Waikato, Hamilton, New Zealand, 2016 | 381* | 2016 |
| WEKA−Experiences with a Java Open-Source Project RR Bouckaert, E Frank, MA Hall, G Holmes, B Pfahringer, P Reutemann, ... Journal of Machine Learning Research 11 (Sep), 2533-2541, 2010 | 368 | 2010 |
| Locally weighted naive bayes E Frank, M Hall, B Pfahringer Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002 | 357 | 2002 |
| Chest pain: relationship of psychiatric illness to coronary arteriographic results W Katon, ML Hall, J Russo, L Cormier, M Hollifield, PP Vitaliano, ... The American journal of medicine 84 (1), 1-9, 1988 | 355 | 1988 |
Eibe FrankProfessor, Department of Computer Science, University of WaikatoVerified email at cs.waikato.ac.nz
