| Leakage in data mining: Formulation, detection, and avoidance S Kaufman, S Rosset, C Perlich, O Stitelman ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (4), 1-21, 2012 | 645 | 2012 |
| Tree induction vs. logistic regression: A learning-curve analysis C Perlich, F Provost, J Simonoff Journal of Machine Learning Research, 2003 | 526 | 2003 |
| A market-based framework for bankruptcy prediction AS Reisz, C Perlich Journal of financial stability 3 (2), 85-131, 2007 | 276 | 2007 |
| Machine learning for targeted display advertising: Transfer learning in action C Perlich, B Dalessandro, T Raeder, O Stitelman, F Provost Machine learning 95 (1), 103-127, 2014 | 260 | 2014 |
| Bid optimizing and inventory scoring in targeted online advertising C Perlich, B Dalessandro, R Hook, O Stitelman, T Raeder, F Provost Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 216 | 2012 |
| Causally motivated attribution for online advertising B Dalessandro, C Perlich, O Stitelman, F Provost Proceedings of the sixth international workshop on data mining for online …, 2012 | 163 | 2012 |
| Distribution-based aggregation for relational learning with identifier attributes C Perlich, F Provost Machine Learning 62, 65-105, 2006 | 152 | 2006 |
| Aggregation-based feature invention and relational concept classes C Perlich, F Provost Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 150 | 2003 |
| Spatial-temporal causal modeling for climate change attribution AC Lozano, H Li, A Niculescu-Mizil, Y Liu, C Perlich, J Hosking, N Abe Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 140 | 2009 |
| Learning Curves in Machine Learning. C Perlich Encyclopedia of machine learning, 577-580, 2010 | 124 | 2010 |
| Winning the KDD cup orange challenge with ensemble selection A Niculescu-Mizil, C Perlich, G Swirszcz, V Sindhwani, Y Liu, P Melville, ... KDD-Cup 2009 competition, 23-34, 2009 | 88 | 2009 |
| Ranking-based evaluation of regression models S Rosset, C Perlich, B Zadrozny Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005 | 70 | 2005 |
| Evaluating and optimizing online advertising: Forget the click, but there are good proxies B Dalessandro, R Hook, C Perlich, F Provost Big data 3 (2), 90-102, 2015 | 65 | 2015 |
| Predicting influence in social networks RD Lawrence, E Meliksetian, P Melville, C Perlich, K Subbian US Patent 9,031,888, 2015 | 64 | 2015 |
| Scalable hands-free transfer learning for online advertising B Dalessandro, D Chen, T Raeder, C Perlich, M Han Williams, F Provost Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 60 | 2014 |
| Design principles of massive, robust prediction systems T Raeder, O Stitelman, B Dalessandro, C Perlich, F Provost Proceedings of the 18th ACM SIGKDD international conference on knowledge …, 2012 | 57 | 2012 |
| Discovering knowledge from relational data extracted from business news A Bernstein, S Clearwater, S Hill, C Perlich, F Provost NYU Working Paper, 2002 | 51 | 2002 |
| Looking for great ideas: Analyzing the innovation jam M Helander, R Lawrence, Y Liu, C Perlich, C Reddy, S Rosset Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining …, 2007 | 50 | 2007 |
| Medical data mining: insights from winning two competitions S Rosset, C Perlich, G Świrszcz, P Melville, Y Liu Data Mining and Knowledge Discovery 20, 439-468, 2010 | 47 | 2010 |
| The microsoft academic search dataset and kdd cup 2013 SB Roy, M De Cock, V Mandava, S Savanna, B Dalessandro, C Perlich, ... Proceedings of the 2013 KDD cup 2013 workshop, 1-6, 2013 | 42 | 2013 |
