Foster Provost
TitleCited byYear
Glossary of terms
R Kohavi, F Provost
Machine Learning 30, 271-274, 1998
2765*1998
Robust classification for imprecise environments
F Provost, T Fawcett
Machine learning 42 (3), 203-231, 2001
13882001
Adaptive fraud detection
T Fawcett, F Provost
Data mining and knowledge discovery 1 (3), 291-316, 1997
11111997
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
10122008
Quality management on amazon mechanical turk
PG Ipeirotis, F Provost, J Wang
Proceedings of the ACM SIGKDD workshop on human computation, 64-67, 2010
9962010
Transmigration, du son vers la forme
S Provost
Circuit: musiques contemporaines 8 (1), 43-48, 1997
9851997
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
9372003
Data science and its relationship to big data and data-driven decision making
F Provost, T Fawcett
Big data 1 (1), 51-59, 2013
8062013
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
7352013
Network-based marketing: Identifying likely adopters via consumer networks
S Hill, F Provost, C Volinsky
Statistical Science 21 (2), 256-276, 2006
6512006
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
6212007
Tree induction for probability-based ranking
F Provost, P Domingos
Machine learning 52 (3), 199-215, 2003
5682003
Activity monitoring: Noticing interesting changes in behavior
T Fawcett, F Provost
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
5041999
Machine learning from imbalanced data sets 101
F Provost
Proceedings of the AAAI’2000 workshop on imbalanced data sets 68, 1-3, 2000
4652000
The effect of class distribution on classifier learning: an empirical study
GM Weiss, F Provost
4642001
Efficient progressive sampling
F Provost, D Jensen, T Oates
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
4081999
A survey of methods for scaling up inductive algorithms
F Provost, V Kolluri
Data mining and knowledge discovery 3 (2), 131-169, 1999
3851999
Tree induction vs. logistic regression: A learning-curve analysis
C Perlich, F Provost, JS Simonoff
Journal of Machine Learning Research 4 (Jun), 211-255, 2003
3772003
Handling missing values when applying classification models
M Saar-Tsechansky, F Provost
Journal of machine learning research 8 (Jul), 1623-1657, 2007
3352007
A simple relational classifier
SA Macskassy, F Provost
NEW YORK UNIV NY STERN SCHOOL OF BUSINESS, 2003
3302003
The system can't perform the operation now. Try again later.
Articles 1–20