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    Author information
    First name: Foster J.
    Last name: Provost
    DBLP: p/FosterJProvost
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    Below you find the publications which have been written by this author.

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    Journal article
    Panagiotis G. Ipeirotis, Foster J. Provost, Victor S. Sheng, Jing Wang.
    Repeated labeling using multiple noisy labelers.
    Data Min. Knowl. Discov. 2014, Volume 28 (0) 2014
    Journal article
    Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, Foster J. Provost.
    Machine learning for targeted display advertising: transfer learning in action.
    Machine Learning 2014, Volume 95 (0) 2014
    Conference paper
    Enric Junqué de Fortuny, Marija Stankova, Julie Moeyersoms, Bart Minnaert, Foster J. Provost, David Martens.
    Corporate residence fraud detection.
    The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 2014 (0) 2014
    Conference paper
    Melinda Han Williams, Claudia Perlich, Brian Dalessandro, Foster J. Provost.
    Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth.
    Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, ADKDD 2014, August 24, 2014, New York City, New York, USA 2014 (0) 2014
    Conference paper
    Brian Dalessandro, Daizhuo Chen, Troy Raeder, Claudia Perlich, Melinda Han Williams, Foster J. Provost.
    Scalable hands-free transfer learning for online advertising.
    The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 2014 (0) 2014
    Conference paper
    Ori Stitelman, Claudia Perlich, Brian Dalessandro, Rod Hook, Troy Raeder, Foster J. Provost.
    Using co-visitation networks for detecting large scale online display advertising exchange fraud.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Foster J. Provost, Geoffrey I. Webb.
    Panel: a data scientist's guide to making money from start-ups.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Troy Raeder, Claudia Perlich, Brian Dalessandro, Ori Stitelman, Foster J. Provost.
    Scalable supervised dimensionality reduction using clustering.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Arun Sundararajan, Foster J. Provost, Gal Oestreicher-Singer, Sinan Aral.
    Research Commentary - Information in Digital, Economic, and Social Networks.
    Information Systems Research 2013, Volume 24 (0) 2013
    Conference paper
    Claudia Perlich, Brian Dalessandro, Rod Hook, Ori Stitelman, Troy Raeder, Foster J. Provost.
    Bid optimizing and inventory scoring in targeted online advertising.
    The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 (0) 2012
    Conference paper
    Troy Raeder, Ori Stitelman, Brian Dalessandro, Claudia Perlich, Foster J. Provost.
    Design principles of massive, robust prediction systems.
    The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 (0) 2012
    Journal article
    Foster J. Provost, Gary M. Weiss.
    Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Josh Attenberg, Foster J. Provost.
    Online active inference and learning.
    Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 2011 (0) 2011
    Conference paper
    Josh Attenberg, Panagiotis G. Ipeirotis, Foster J. Provost.
    Beat the Machine: Challenging Workers to Find the Unknown Unknowns.
    Human Computation, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 8, 2011 2011 (0) 2011
    Conference paper
    Josh Attenberg, Foster J. Provost.
    Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance.
    Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010 2010 (0) 2010
    Conference paper
    Josh Attenberg, Prem Melville, Foster J. Provost.
    A Unified Approach to Active Dual Supervision for Labeling Features and Examples.
    Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I 2010 (0) 2010
    Conference paper
    Josh Attenberg, Foster J. Provost.
    Inactive learning?: difficulties employing active learning in practice.
    SIGKDD Explorations 2010, Volume 12 (0) 2010
    Conference paper
    Foster J. Provost, Brian Dalessandro, Rod Hook, Xiaohan Zhang, Alan Murray.
    Audience selection for on-line brand advertising: privacy-friendly social network targeting.
    Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009 2009 (0) 2009
    Conference paper
    Foster J. Provost.
    Brand advertising, on-line audiences, and social media: invited talk.
    Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, Paris, France, June 28, 2009 2009 (0) 2009
    Journal article
    Maytal Saar-Tsechansky, Prem Melville, Foster J. Provost.
    Active Feature-Value Acquisition.
    Management Science 2009, Volume 55 (0) 2009
    Conference paper
    Victor S. Sheng, Foster J. Provost, Panagiotis G. Ipeirotis.
    Get another label? improving data quality and data mining using multiple, noisy labelers.
    Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008 2008 (0) 2008
    Conference paper
    Maytal Saar-Tsechansky, Foster J. Provost.
    Handling Missing Values when Applying Classification Models.
    Journal of Machine Learning Research 2007, Volume 8 (0) 2007
    Conference paper
    Sofus A. Macskassy, Foster J. Provost.
    Classification in Networked Data: A Toolkit and a Univariate Case Study.
    Journal of Machine Learning Research 2007, Volume 8 (0) 2007
    Conference paper
    Foster J. Provost, Prem Melville, Maytal Saar-Tsechansky.
    Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce.
    Proceedings of the 9th International Conference on Electronic Commerce: The Wireless World of Electronic Commerce, 2007, University of Minnesota, Minneapolis, MN, USA, August 19-22, 2007 2007 (0) 2007
    Conference paper
    Foster J. Provost, Arun Sundararajan.
    Modeling complex networks for electronic commerce.
    Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), San Diego, California, USA, June 11-15, 2007 2007 (0) 2007
    Show item 1 to 25 of 73  

    Your query returned 73 matches in the database.