Foster Provost

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Scaling Up: Distributed earning

Foster Provost, 1996 .

A Simple Relational Classifier

Foster Provost, Sofus A. Macskassy, Sofus A. Macskassy, 2003 .

Active modeling in cost-sensitive environments

Maytal Saar-Tsechansky, Foster Provost, 2002 .

Columbus: Dream and Act : A Tragic Suite

Foster Provost, 1987 .

Monitoring Business Activity

Foster Provost, Sofus A. Macskassy, 2006 .

Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009

Paul N. Bennett, Raman Chandrasekar, Panagiotis G. Ipeirotis, 2009, KDD Workshop on Human Computation.

Simple Models and Classification in Networked Data

Foster Provost, Sofus A. Macskassy, Sofus A. Macskassy, 2004 .

Kdd-2001: Proceedings of the Seventh Acm Sigkdd International Conference on Knowledge Discovery and Data Mining : August 26-29, 2001 San Francisco, Ca, USA

Ramakrishnan Srikant, Foster Provost, R. Srikant, 2002 .

Goal-Directed Inductive Learning: Trading off Accuracy for Reduced Error Cost

Foster Provost, F. Provost, 1994 .

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001

Doheon Lee, Ramakrishnan Srikant, Foster Provost, 2001, KDD.

Variance-Based Active Learning

Maytal Saar-Tsechansky, Foster Provost, 2000 .

AAAI-98 Workshops: Reports of the Workshops Held at the Fifteenth National Conference on Artificial Intelligence in Madison, Wisconsin

David W. Aha, Brian Logan, Tom Fawcett, 1999 .

NetKit-SRL: A Toolkit for Network Learning and Inference

Foster Provost, Sofus A. Macskassy, Sofus A. Macskassy, 2005 .

Economical active feature-value acquisition through Expected Utility estimation

Maytal Saar-Tsechansky, Foster Provost, Prem Melville, 2005, UBDM '05.

Suspicion scoring based on guilt-by-association, colle ctive inference, and focused data access 1

Foster Provost, Sofus A. Macskassy, Sofus A. Macskassy, 2005 .

Data-Driven Investment Strategies for Peer-to-Peer Lending: A Case Study for Teaching Data Science

Maxime C. Cohen, Foster Provost, Kevin Jiao, 2018, Big Data.

Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters pdf

Foster Provost, Carlos Fern'andez-Lor'ia, F. Provost, 2021, INFORMS Journal on Data Science.

Suspicion scoring based on guilt-by-association, colle ctive inference, and focused data access 1

Foster Provost, Sofus A. Macskassy, F. Provost, 2005 .

Special Issue on Applications of data mining to electronic commerce

Ron Kohavi, Foster Provost, Foster Provost, 2001 .

Social Network Collaborative Filtering: Preliminary Results

Anindya Ghose, Foster Provost, F. Provost, 2007 .

Tree Induction vs. Logistic Regression for Learning Rankings based on Likelihood of Class Membership

Foster Provost, J. Simonoff, F. Provost, 2002 .

Finding Mobile Consumers with a Privacy-Friendly Geo-Similarity Network *

Foster Provost, 2015 .

What Managers Need to Know About Big Data

Foster Provost, Jim Euchner, 2017 .

Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making"

Tom Fawcett, Foster Provost, Foster Provost, 2014, Big Data.

Relational Learning Problems and Simple Models

Foster Provost, Claudia Perlich, F. Provost, 2003 .

Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach pdf

Foster Provost, Xintian Han, Carlos Fernandez, 2020, MIS Quarterly.

BINARY TREES AND RINGS IN HYPERCUBES

Rami Melhem, Foster Provost, F. Provost, 1989 .

A real-time expert system for trigger-logic monitoring

Foster Provost, W. E. Cleland, Z. Zhang, 1990 .

Wallenius Naive Bayes

David Martens, Foster Provost, F. Provost, 2013 .