Foster Provost
Title
Cited by
Cited by
Year
Glossary of terms
R Kohavi, F Provost
Machine Learning 30, 271-274, 1998
15141998
Robust classification for imprecise environments
F Provost, T Fawcett
Machine learning 42 (3), 203-231, 2001
14902001
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
11831997
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
11102008
Quality management on amazon mechanical turk
PG Ipeirotis, F Provost, J Wang
Proceedings of the ACM SIGKDD workshop on human computation, 64-67, 2010
10682010
Data science and its relationship to big data and data-driven decision making
F Provost, T Fawcett
Big data 1 (1), 51-59, 2013
10292013
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
10022003
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
8872013
Network-based marketing: Identifying likely adopters via consumer networks
S Hill, F Provost, C Volinsky
Statistical Science 21 (2), 256-276, 2006
7022006
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
6472007
Tree induction for probability-based ranking
F Provost, P Domingos
Machine learning 52 (3), 199-215, 2003
5962003
Activity monitoring: Noticing interesting changes in behavior
T Fawcett, F Provost
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
5301999
Machine learning from imbalanced data sets 101
F Provost
Proceedings of the AAAI’2000 workshop on imbalanced data sets 68 (2000), 1-3, 2000
5102000
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Articles 1–20