Claudia Perlich

发表

Wallet Estimation Models

Richard D. Lawrence, S. Rosset, B. Zadrozny, 2005 .

Bid optimizing and inventory scoring in targeted online advertising

Foster J. Provost, Troy Raeder, Ori Stitelman, 2012, KDD.

Relational Learning for Customer Relationship Management

Claudia Perlich, 2005 .

Scalable hands-free transfer learning for online advertising

Foster J. Provost, Troy Raeder, Brian Dalessandro, 2014, KDD.

A Market-Based Framework for Bankruptcy Prediction

Claudia Perlich, Claudia Perlich, Alexander S. Reisz, 2004 .

Intelligent System for Workforce Classification

Richard D. Lawrence, Claudia Perlich, Yan Liu, 2008 .

Learning Blog Sentiment with Reduced Supervision

Richard D. Lawrence, Claudia Perlich, Prem Melville, 2008 .

STATISTICAL METHODS IN ECOMMERCE RESEARCH Chapter : Quantile Modeling for Wallet Estimation

S. Rosset, Claudia Perlich, A. Wiley, 2007 .

Machine Learning for Social Media Analytics

Richard D. Lawrence, V. Sindhwani, Claudia Perlich, 2009 .

Lessons learned from contests in data mining

Tie-Yan Liu, Charles Elkan, Yehuda Koren, 2011, KDD 2011.

Learning from Labeled and Unlabeled Data

Lise Getoor, Stefan Wrobel, Stefan Schaal, 2010, Encyclopedia of Machine Learning.

Americas Conference on Information Systems ( AMCIS ) December 2002 A MODULAR APPROACH TO RELATIONAL DATA MINING

Claudia Perlich, C. Perlich, 2017 .

‘ ‘ OUR DATA VALUATION METHODOLOGY WORKS BY TURNING PREDICTION INTO ACTION AND THEN EVALUATING THE ECONOMIC IMPACT OF THOSE ACTIONS . ’ ’ ECONOMIC VALUE OF INCREMENTAL FEATURES

Claudia Perlich, Brian Dalessandro, Troy Raeder, 2022 .

Leakage in data mining: Formulation, detection, and avoidance

S. Rosset, Claudia Perlich, Ori Stitelman, 2012, TKDD.

Looking for great ideas: analyzing the innovation jam

Mary E. Helander, Yan Liu, Chandan Reddy, 2007, WebKDD/SNA-KDD '07.

Identifying Bundles of Product Options using Mutual Information Clustering

Saharon Rosset, Claudia Perlich, S. Rosset, 2007, SDM.

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Jure Leskovec, Rayid Ghani, Wei Wang, 2014, KDD 2014.

Leakage in data mining: formulation, detection, and avoidance

Saharon Rosset, Claudia Perlich, Shachar Kaufman, 2011, TKDD.

Machine learning for targeted display advertising: transfer learning in action

Foster J. Provost, Troy Raeder, Ori Stitelman, 2013, Machine Learning.

Linear Separability

S. Vijayakumar, M. Lagoudakis, Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Medical data mining: insights from winning two competitions

Yan Liu, Saharon Rosset, Grzegorz Swirszcz, 2010, Data Mining and Knowledge Discovery.

Scalable supervised dimensionality reduction using clustering

Foster J. Provost, Troy Raeder, Ori Stitelman, 2013, KDD.

Tree Induction Vs Logistic Regression: A Learning Curve Analysis

Jeffrey S. Simonoff, Foster J. Provost, Claudia Perlich, 2001, J. Mach. Learn. Res..

Causally motivated attribution for online advertising

Foster Provost, Ori Stitelman, Brian Dalessandro, 2012, ADKDD '12.

Federal Reserve Bank of New York Staff Reports the Impact of Ceo Turnover on Equity Volatility the Impact of Ceo Turnover on Equity Volatility We Thank Robert Parrino for Graciously Sharing His Ceo Turnover Data. We Thank an Anonymous Referee

Yaniv Grinstein, Claudia Perlich, J. Rosenberg, 2022 .

Learning from Labeled and Unlabeled Data

S. Vijayakumar, M. Lagoudakis, Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Spatial-temporal causal modeling for climate change attribution

Yan Liu, Jonathan R. M. Hosking, Aurelie C. Lozano, 2009, KDD.