Foster Provost
About
Foster Provost has authored 114 papers that have received a total of 6.8k indexed citations.
This includes 76 papers in Artificial Intelligence, 32 papers in Information Systems and 20 papers in Management Science and Operations Research. The topics of these papers are Machine Learning and Data Classification (31 papers), Data Mining Algorithms and Applications (27 papers) and Imbalanced Data Classification Techniques (26 papers). Foster Provost is often cited by papers focused on Machine Learning and Data Classification (31 papers), Data Mining Algorithms and Applications (27 papers) and Imbalanced Data Classification Techniques (26 papers) and collaborates with scholars based in United States, Belgium and Hong Kong. Foster Provost's co-authors include Tom Fawcett, Claudia Perlich, David Martens, Maytal Saar‐Tsechansky and Panagiotis G. Ipeirotis and has published in prestigious journals such as Management Science, MIS Quarterly and The American Historical Review.
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