Data Mining

Jiawei Han

Professor Han has done groundbreaking work in the area of data mining. The rise of data mining reflects the imminent needs of today's computerized, data-intensive society.
Feng Liang

Feng Liang's research interests include Bayesian methods, decision theory, information theory, the minimum description length principle, and data mining.
Tim Yardley

Tim Yardley is interested in analyzing and developing techniques for securing scalable distributed systems and networks.
Focused Textual Entailment for Semantic Text Annotation

funded by Boeing
On-Line Mining of Strange Moving Objects for Security Protection

funded by Boeing
MotionEye: Querying and Mining Large Datasets of Moving Objects (NSF/SEIII)

funded by the National Science Foundation
Mining Unusual Patterns in Data Streams

funded by an IBM Faculty Award
Mining Hidden and Evolving Linkages across Multirelational Data

funded by an IBM Faculty Award
MAIDS: Mining Alarming Incidents from Data Streams

funded by the Office of Naval Research
Structure Discovery and Database Integration by Data Mining

funded by IBM