Provost, Foster

Data science and its relationship to big data and data-driven decision making

Provost, F., & Fawcett, T. (2013) · Big Data

Big Data Technologies and ApplicationsBig Data and Business Intelligence

Cited by 1,568

Robust classification for imprecise environments

Provost, F., & Fawcett, T. (2001) · Machine Learning

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 1,250

Learning when training data are costly: the effect of class distribution on tree induction

Weiss, G. M., & Provost, F. (2003) · Journal of Artificial Intelligence Research

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 921

Tree Induction for Probability-Based Ranking

Provost, F., & Domingos, P. (2003) · Machine Learning

Data Mining Algorithms and ApplicationsData Mining and Machine Learning Applications

Cited by 541

Explaining Data-Driven Document Classifications1

Martens, D., & Provost, F. (2014) · MIS Quarterly

Explainable Artificial Intelligence (XAI)Text and Document Classification Technologies

Cited by 264

A Simple Relational Classifier

Macskassy, S. A., & Provost, F. (2003)

Bayesian Modeling and Causal InferenceData Mining and Machine Learning Applications

Cited by 255

In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions

Ascarza, E., Neslin, S. A., Netzer, O., Anderson, Z., Fader, P. S., Gupta, S., Hardie, B. G. S., Lemmens, A., Libai, B., Neal, D., et al. (2018) · Customer Needs and Solutions

Customer churn and segmentationCustomer Service Quality and Loyalty

Cited by 190

Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics1

Martens, D., Provost, F., Clark, J., & de Fortuny, E. J. (2016) · MIS Quarterly

Big Data and Business IntelligenceBig Data Technologies and Applications

Cited by 140

Beat the Machine: Challenging Humans to Find a Predictive Model's “Unknown Unknowns”

Attenberg, J., Ipeirotis, P., & Provost, F. (2015) · Journal of Data and Information Quality

Software Testing and Debugging TechniquesMachine Learning and Data Classification

Cited by 103