I am a Research Scientist in the Predictive Modeling Group at IBM T.J. Watson Research Center. My research interests are in practical applications of Machine Learning and Data Mining approaches. I graduated in 2004 from the Information Systems Department at Stern, NYU under the supervision of Foster Provost.
Awards and Recognitions
Winner KDD CUP 2008 Task 1 and Task 2
Winner KDD CUP 2007 Task 2
Winner ILP Challenge 2005
Runner Up KDD CUP 2003 Task 1
Publications
Journals
“Making the Most of Your Data: KDD Cup 2007 ‘How Many Ratings’ Winner’s Report”
S. Rosset, C. Perlich, Y. Liu, In SIGKDD Explorations 9(2) (2007) 66-69
“Analytics-driven solutions for customer targeting and sales force allocation”
J. Arroyo, M. Callahan, M. Collins, A. Ershov, I. Khabibrakhmanov, R. Lawrence, S.Mahatma, M. Niemaszyk, C. Perlich, S. Rosset, S. Weiss, IBM Systems Journal 46 (4) (2007)
“A Market-Based Framework for Bankruptcy Prediction”
Reisz, A.S. and C. Perlich., Journal of Financial Stability 3(2) (2007) 85-131
“Ranking-Based Evaluation of Regression Models”
Rosset, S., C. Perlich, and B. Zadrozny, Knowledge and Information Systems 12 (3) 2006 331-329
“ACORA: Distribution-Based Aggregation for Relational Learning from Identifier Attributes”
Perlich, C. and F. Provost. Special Issue on Statistical Relational Learning and Multi-Relational Data Mining, Journal of Machine Learning 62 (2006) 65-105
“Temporal Resolution of Uncertainty and Corporate Debt Yields: An Empirical Investigation”
Reisz, A.S. and C. Perlich. Journal of Business 79 (2006) 731-770
“Predicting Citation Rates for Physics Papers: Constructing Features for an Ordered Probit Model”
Perlich, C., F. Provost, and S. Macskassy. In SIGKDD Explorations (2004) 154-155
“Tree Induction vs. Logistic Regression: A Learning Curve Analysis”
Perlich, C., F. Provost, and J. Simonoff. Journal of Machine Learning Research 4 (2003) 211-255
Conference and Workshop Papers
“Graphical Models for Workforce Classification”
Y. Liu, Z. Kou, C. Perlich, R. Lawrence
Under review at KDD 2008
“Mining Political Blog Networks”
W. Gryc, Y. Liu, C. Perlich, R. D. Lawrence
Networks in Political Science Conference at Harvard 2008
“Making the Most of Your Data: KDD Cup 2007 ‘How Many Ratings’ Winner’s Report”
S. Rosset, C. Perlich, Y. Liu
KDD Cup and Workshop at SIGKDD 2007
“A Data Mining Case Study: Analytics-driven solutions for customer targeting and sales force allocation”
R. Lawrence, C. Perlich, S. Rosset,
Second Workshop on Data Mining Case Studies and Practice Prize at SIGKDD 2007
“Looking for Great Ideas: Analyzing the Innovation Jam”
Mary Helander, Rick Lawrence, Yan Liu, Claudia Perlich, Chandan Reddy, Saharon Rosset. Workshop on Web Mining and Social Network Analysis at SIGKDD 2007
“High Quantile Modeling for Customer Wallet Estimation with Other Applications”
Perlich, C., S. Rosset, R. Lawrence, and B. Zadrozny, 13th SIGKDD International Conference on Knowledge Discovery and Data Mining 2007
“Identifying Bundles of Product Options using Mutual Information Clustering”
Perlich,
“Discriminative Embedding for Classification Tasks in Complex Relational and Network Domains”
Perlich, C., Workshop on Novel Applications of Dimensionality Reduction at NIPS 2006
“Quantile Modeling for Marketing”
Perlich, C., S. Rosset and B. Zadrozny. Workshop on Data Mining for Business Applications at 12th SIGKDD International Conference on Knowledge Discovery and Data Mining 2006
“A New Multi-View Regression Approach with an Application to Customer Wallet Estimation”
Merugu, S. S.Rosset and C. Perlich. 12th SIGKDD International Conference on Knowledge Discovery and Data Mining 2006
“Wallet Estimation Models”
Rosset, S., C. Perlich, B. Zadrozny, S. Merugu, S. Weiss and R. Lawrence. International Workshop on Customer Relationship Management: Data Mining Meets Marketing, NYU 2005
“Relational Learning for Customer Relationship Management”
Perlich, C., and Z. Huang. International Workshop on Customer Relationship Management: Data Mining Meets Marketing, NYU 2005
“Approaching the ILP Challenge 2005: Class-Conditional Bayesian Propositionalization for Genetic Classification”
Perlich, C. Inductive Logic Programming (ILP) 2005
“Gene Classification: Issues and Challenges for Relational Learning”
Perlich, C, and S. Merugu. Workshop on Multi-Relational Data Mining (MRDM), at 11th SIGKDD International Conference on Knowledge Discovery and Data Mining 2005
“Ranking-Based Evaluation of Regression Models”
Perlich, C., S. Rosset and B. Zadrozny. International Conference on Data Mining (ICDM) 2005
“Learning from Identifier Attributes: Distribution-Based Aggregation for Relational Learning”
Perlich, C. and F. Provost. Dagstuhl Seminar 05051, 2005
“Aggregation-Based Feature Invention and Relational Concept Classes”
Perlich, C. and F. Provost. Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2003, 167-176
“Citation-Based Document Classification”
Perlich, C. Workshop on Information Technology and Systems (WITS) 2003
“Aggregation and Concept Complexity in Relational Learning”
Perlich, C. and F. Provost. Workshop on Learning Statistical Models from Relational Data (SRL), at IJCAI 2003
“Relational Learning Problems and Simple Models”
Provost, F., C. Perlich and S. Macskassy. Workshop on Learning Statistical Models from Relational Data (SRL), at IJCAI 2003
“ACORA: Automated Construction of Relational Attribute”
Perlich, C. Prototype Track at Workshop on Information Technology and Systems (WITS) 2003
“Discovering Knowledge from Relational Data Extracted from Business News”
Bernstein, A.,
“A Modular Approach to Relational Data Mining”
Perlich, C. and F. Provost. American Conference on Information Systems (AMCIS) 2002
“Modeling of Scholastic Aptitude Tests”
Weigend, A.S., C. Perlich and M. Brehler
International Conference on Neural Information Processing (ICONIP) 1996
Invited Book Chapters
“Looking for Great Ideas: Analyzing the Innovation Jam”
W. Gryc, M. Helander, R. Lawrence, Y. Liu, C. Perlich, C. Reddy, S. Rosset. Extended workshop Proceedings on Web Mining and Social Network Analysis at SIGKDD 2007
“Quantile Modeling for Wallet Estimation”
Perlich, C. and S. Rosset
Statistical Methods in eCommerce Research
“Aggregation for Predictive Modeling with Relational Data”
Perlich, C. and F. Provost
In Encyclopedia of Data Warehousing and Mining 2004
