Claudia Perlich

According to our database, Claudia Perlich authored at least 39 papers between 2003 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers.

Yeming Shi, Claudia Perlich, Rod Hook, Wickus Martin, Melinda Han Williams, Justin Moynihan, Patrick McCarthy, Peter Lenz, Reka Daniel-Weiner, Roger Cost

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Learning Curves in Machine Learning.

Claudia Perlich

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Blacklisting the Blacklist in Online Advertising: Improving Delivery by Bidding for What You Can Win.

Yeming Shi, Ori Stitelman, Claudia Perlich

Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

2016

Automated Machine Learning in the Wild.

Claudia Perlich

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies.

Brian Dalessandro, Rod Hook, Claudia Perlich, Foster J. Provost

Big Data, 2015

2014

Machine learning for targeted display advertising: transfer learning in action.

Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, Foster J. Provost

Mach. Learn., 2014

A Data Scientist's Guide to Start-Ups.

Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich

Big Data, 2014

Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets.

Brian Dalessandro, Claudia Perlich, Troy Raeder

Big Data, 2014

Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth.

Melinda Han Williams, Claudia Perlich, Brian Dalessandro, Foster J. Provost

Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 2014

Scalable hands-free transfer learning for online advertising.

Brian Dalessandro, Daizhuo Chen, Troy Raeder, Claudia Perlich, Melinda Han Williams, Foster J. Provost

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Using co-visitation networks for detecting large scale online display advertising exchange fraud.

Ori Stitelman, Claudia Perlich, Brian Dalessandro, Rod Hook, Troy Raeder, Foster J. Provost

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

The Microsoft academic search dataset and KDD Cup 2013.

Senjuti Basu Roy, Martine De Cock, Vani Mandava, Swapna Savanna, Brian Dalessandro, Claudia Perlich, William Cukierski, Ben Hamner

Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Scalable supervised dimensionality reduction using clustering.

Troy Raeder, Claudia Perlich, Brian Dalessandro, Ori Stitelman, Foster J. Provost

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

The Microsoft Academic Search challenges at KDD Cup 2013.

Martine De Cock, Senjuti Basu Roy, Swapna Savvana, Vani Mandava, Brian Dalessandro, Claudia Perlich, William Cukierski, Benjamin Hamner

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Leakage in data mining: Formulation, detection, and avoidance.

Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman

ACM Trans. Knowl. Discov. Data, 2012

Design principles of massive, robust prediction systems.

Troy Raeder, Ori Stitelman, Brian Dalessandro, Claudia Perlich, Foster J. Provost

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Bid optimizing and inventory scoring in targeted online advertising.

Claudia Perlich, Brian Dalessandro, Rod Hook, Ori Stitelman, Troy Raeder, Foster J. Provost

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Causally motivated attribution for online advertising.

Brian Dalessandro, Claudia Perlich, Ori Stitelman, Foster J. Provost

Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, 2012

2011

Latent graphical models for quantifying and predicting patent quality.

Yan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Leakage in data mining: formulation, detection, and avoidance.

Shachar Kaufman, Saharon Rosset, Claudia Perlich

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Learning Curves in Machine Learning.

Claudia Perlich

Proceedings of the Encyclopedia of Machine Learning, 2010

On cross-validation and stacking: building seemingly predictive models on random data.

Claudia Perlich, Grzegorz Swirszcz

SIGKDD Explor., 2010

Operations Research Improves Sales Force Productivity at IBM.

Rick Lawrence, Claudia Perlich, Saharon Rosset, Ildar Khabibrakhmanov, Shilpa Mahatma, Sholom M. Weiss, Matthew Callahan, Matt Collins, Alexey Ershov, Shiva Kumar

Interfaces, 2010

Medical data mining: insights from winning two competitions.

Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu

Data Min. Knowl. Discov., 2010

2009

Modeling Quantiles.

Claudia Perlich, Saharon Rosset, Bianca Zadrozny

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Winning the KDD Cup Orange Challenge with Ensemble Selection.

Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yanfeng Zhu

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Spatial-temporal causal modeling for climate change attribution.

Aurélie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Breast cancer identification: KDD CUP winner's report.

Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset

SIGKDD Explor., 2008

2007

Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report.

Saharon Rosset, Claudia Perlich, Yan Liu

SIGKDD Explor., 2007

Ranking-based evaluation of regression models.

Saharon Rosset, Claudia Perlich, Bianca Zadrozny

Knowl. Inf. Syst., 2007

Analytics-driven solutions for customer targeting and sales-force allocation.

Richard D. Lawrence, Claudia Perlich, Saharon Rosset, Jorge Arroyo, Matthew Callahan, J. Matthew Collins, Alexey Ershov, Sheri Feinzig, Ildar Khabibrakhmanov, Shilpa Mahatma, Mark Niemaszyk, Sholom M. Weiss

IBM Syst. J., 2007

Identifying Bundles of Product Options using Mutual Information Clustering.

Claudia Perlich, Saharon Rosset

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

High-quantile modeling for customer wallet estimation and other applications.

Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Looking for Great Ideas: Analyzing the Innovation Jam.

Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007

2006

Distribution-based aggregation for relational learning with identifier attributes.

Claudia Perlich, Foster J. Provost

Mach. Learn., 2006

A new multi-view regression approach with an application to customer wallet estimation.

Srujana Merugu, Saharon Rosset, Claudia Perlich

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2003

Predicting citation rates for physics papers: constructing features for an ordered probit model.

Claudia Perlich, Foster J. Provost, Sofus A. Macskassy

SIGKDD Explor., 2003

Tree Induction vs. Logistic Regression: A Learning-Curve Analysis.

Claudia Perlich, Foster J. Provost, Jeffrey S. Simonoff

J. Mach. Learn. Res., 2003

Aggregation-based feature invention and relational concept classes.

Claudia Perlich, Foster J. Provost

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003