| Glossary of terms R Kohavi, F Provost Machine Learning 30, 271-274, 1998 | 1509 | 1998 |
| Robust classification for imprecise environments F Provost, T Fawcett Machine learning 42 (3), 203-231, 2001 | 1491 | 2001 |
| The Case Against Accuracy Estimation for Comparing Induction Algorithms F Provost, T Fawcett, R Kohavi International Conference on Machine Learning, 445-453, 1998 | 1480* | 1998 |
| The Case Against Accuracy Estimation for Comparing Induction Algorithms F Provost, T Fawcett, R Kohavi Proceedings of ICML-98, 445-453, 1998 | 1480* | 1998 |
| The Case Against Accuracy Estimation for Comparing Induction Algorithms F Provost, R Fawcett, T, Kohavi International Conference on Machine Learning, 445-453, 1998 | 1480* | 1998 |
| Adaptive fraud detection T Fawcett, F Provost Data mining and knowledge discovery 1 (3), 291-316, 1997 | 1183 | 1997 |
| Get another label? improving data quality and data mining using multiple, noisy labelers VS Sheng, F Provost, PG Ipeirotis Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 1110 | 2008 |
| Quality management on amazon mechanical turk PG Ipeirotis, F Provost, J Wang Proceedings of the ACM SIGKDD workshop on human computation, 64-67, 2010 | 1069 | 2010 |
| Data science and its relationship to big data and data-driven decision making F Provost, T Fawcett Big data 1 (1), 51-59, 2013 | 1030 | 2013 |
| Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions F Provost, T Fawcett Proceedings of the Third International Conference on Knowledge Discovery and …, 1997 | 1029* | 1997 |
| Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions F Provost, T Fawcett Proceedings of the Third International Conference on Knowledge Discovery and …, 1997 | 1029* | 1997 |
| Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions. F Provost, T Fawcett In Proceedings of the Third International Conference on Knowledge Discovery …, 1997 | 1029* | 1997 |
| Analysis and Visualization of Classi er Performance: Comparison under Imprecise Class and Cost Distributions F Provost, T Fawcett In Proceedings of the Third International Conference on Knowledge Discovery …, 1997 | 1029* | 1997 |
| Learning when training data are costly: The effect of class distribution on tree induction GM Weiss, F Provost Journal of artificial intelligence research 19, 315-354, 2003 | 1002 | 2003 |
| Data Science for Business: What you need to know about data mining and data-analytic thinking F Provost, T Fawcett " O'Reilly Media, Inc.", 2013 | 887 | 2013 |
| Network-based marketing: Identifying likely adopters via consumer networks S Hill, F Provost, C Volinsky Statistical Science 21 (2), 256-276, 2006 | 702 | 2006 |
| Classification in networked data: A toolkit and a univariate case study SA Macskassy, F Provost Journal of machine learning research 8 (May), 935-983, 2007 | 647 | 2007 |
| Tree induction for probability-based ranking F Provost, P Domingos Machine learning 52 (3), 199-215, 2003 | 596 | 2003 |
| Activity monitoring: Noticing interesting changes in behavior T Fawcett, F Provost Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 530 | 1999 |
| Machine learning from imbalanced data sets 101 F Provost Proceedings of the AAAI’2000 workshop on imbalanced data sets 68 (2000), 1-3, 2000 | 510 | 2000 |
