Conference and workshop papers
Dan Pelleg and Dorit Baras. K-means with Large and Noisy Constraint Sets. . June 2007.Elad Yom-Tov and Michal Rosen-Zvi. A Novel Classification Technique Using Compression-based Similarity with Application to Residual Gas Analysis Data . AEC/APC Europe 2007. January 2007.
Saharon Rosset and Richard D. Lawrence. Data-enhanced predictive modeling for sales targeting. . 2006 SIAM Conference On Data Mining, 2006.
Claudia Perlich, Saharon Rosset and Bianca Zadrozny. Quantile modeling for marketing. . 12th SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM), 2006.
Charu Aggarwal. On Temporal Evolution in Data Streams (Invited Keynote Talk). European Conference on Machine Learning. September 2006.
Michail Vlachos, Spyridon Papadimitriou, Zografoula Vagena and Philip S. Yu. Indexing and Visualization of High-Dimensional Data via Dimension Reorderings. PKDD 2006. September 2006.
Charu Aggarwal. On Randomization, Public Information and the Curse of Dimensionality. IEEE International Conference on Data Engineering (ICDE). IEEE, September 2006.
Gabriel Pui Cheong Fung, Jeffrey Yu, Haixun Wang, Huan Liu and David Cheung. A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. ICDM 2006 - IEEE International Conference on Data Mining. August 2006.
Haixun Wang and Yang Ying. Predictive Learning on Data Streams. ICDM 2006 - IEEE International Conference on Data Mining. August 2006.
Haixun Wang and Philip S. Yu. LOCI: Load Shedding through Class-Preserving Data Acquisition. ICDM 2006 - IEEE International Conference on Data Mining. August 2006.
Srujana Merugu, Saharon Rosset, and Claudia Perlich. A new multi-view regression method with an application to customer wallet estimation. . Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2006.
Kay Anderson, Joseph P. Bigus, Eric Bouillet, Parijat Dube, Nagui Halim, Zhen Liu and Dimitrios Pendarakis. SWORD: Scalable and Flexible Workload Generator for Distributed Data Processing Systems. Winter Simulation Conference (WSC 2006). American Statistical Association (ASA), ACM/SIGSIM, IEEE/CS, IEEE/SMC, INFORMS-SIM, IIE, NIST, SCS, June 2006.
C. Liu, C. Chen, J. Han and Philip S. Yu. GPLAG: Detection of Software Plagiarism by Procedure Dependency Graph Analysis. KDD2006. ACM, June 2006.
B. Long, X. Wu, Z. Zhang and Philip S. Yu. Unsupervised Learning on K-partite Graphs. KDD2006. ACM, June 2006.
X. Li, B. Liu and Philip S. Yu. Discovering Overlapping Communities of Named Entities. PKDD 2006. PKDD, June 2006.
Charu Aggarwal. On Biased Resevoir Sampling in the Presence of Stream Evolution. VLDB Conference (Very Large Databases Conference). Springer, May 2006.
Charu Aggarwal, Pei Jian and Bo Zhang. On Privacy Preservation Against Adversarial Data Mining. ACM KDD Conference. ACM, May 2006.
Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn Keogh and Philip S. Yu. Global Distance-Based Segmentation of Trajectories . SIGKKD. May 2006.