Dan Kifer

I am moving to Yahoo! Research and then to Penn State

Postdoc
Department of Computer Science
Cornell University
4124 Upson Hall
Ithaca, NY 14853

I work with Johannes Gehrke and I am part of the Cornell Database Group. My research interests are:

data mining,

data privacy,

databases,

statistics,

machine learning,

and anything else that
deals with uncertainty

David Martin, Daniel Kifer, Ashwin Machanavajjhala, Johannes Gehrke, and Joseph Halpern. Worst-Case Background Knowledge. Proceedings of the 23rd International Conference on Data Engineering (ICDE 2007).
Daniel Kifer, J. E. Gehrke, Injecting Utility into Anonymized Datasets. Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data (SIGMOD 2006).
Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer, and Muthuramakrishnan Venkitasubramaniam. l-Diversity: Privacy Beyond k-Anonymity. Proceedings of the 22nd IEEE International Conference on Data Engineering (ICDE 2006), Atlanta Georgia, April 2006.
Daniel Kifer, Shai Ben-David, and Johannes Gehrke. Detecting Change in Data Streams. Proceedings of the 30th International Conference on Very Large Data Bases (VLDB 2004). Toronto, Canada. August 2004.
Daniel Kifer, J. E. Gehrke, Cristian Bucila, Walker White. How to Quickly Find a Witness. Proceedings of the 22nd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS 2003). San Diego, CA, June 2003
Cristian Bucila, J. E. Gehrke, Daniel Kifer, and Walker White. DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints. In Proceedings of the Eighth ACM SIGKDD Internation Conference on Knowledge Discovery and Data Mining. Edmonton, Alberta, Canada, July 2002.

Cristian Bucila, J. E. Gehrke, Daniel Kifer, and Walker White. DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints. Data Mining and Knowledge Discovery (Special Issue: Selected Papers from the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining -- Part I), Vol. 7, Issue 4, July 2003, pages 241-272.
Ashwin Machanavajjhala, Daniel Kifer, Johannes Gehrke, and Muthuramakrishnan Venkitasubramaniam. l-Diversity: Privacy Beyond k-Anonymity To appear in ACM Transactions on Knowledge Discovery from Data (TKDD)

Daniel Kifer, J. E. Gehrke, Cristian Bucila, Walker White. How to Quickly Find a Witness. Constraint-based mining and inductive databases. Editors: Jean-Francois Boulicaut, Luc de Raedt, Heikki Mannila. To appear as a Springer-Verlag LNCS Volume.

Manuel Calimlim, Jim Cordes, Alan Demers, Julia Deneva, Johannes Gehrke, Dan Kifer, Mirek Riedewald, and Jayavel Shanmugasundaram. A Vision for PetaByte Data Management and Analysis Services for the Arecibo Telescope. Bulletin of the Technical Committee on Data Engineering, IEEE Computer Society. Volume 27, Number 4, December 2004.