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Keke Chen

Education

B.S., Computer Science
Tongji University, China (1996)

M.S., Computer Science
Zhejiang University, China (1999)

Ph.D., Computer Science
Georgia Institute of Technology (2006)

Dr. Chen joined the department in Sept. 2008. During 2006 to 2008, he was a senior research scientist in Yahoo! Labs. His areas of research are data privacy, data mining, machine learning, visual analytics, web search relevance, and cloud computing. He has developed several novel methods in these areas, such as visual clustering and cluster validation, geometric perturbation for privacy preserving data mining, pairwise learning algorithms for ranking, and adaptive learning algorithms for ranking.

Selected Publications

K. Chen and L. Liu, Privacy-preserving multiparty collaborative mining with geometric data perturbation, IEEE Transactions on Parallel and Distributed Systems, 2009.

K. Chen and L. Liu, Best K: the critical clustering structures in categorical data, Knowledge and Information Systems, 2008.

Y. Lin, W. Li, K. Chen and Y. Liu, Document clustering and ranking system for exploring MEDLINE citations, Journal of the American Medical Informatics Association (JAMIA), vol. 14, no. 5, 2007.

K. Chen and L. Liu, iVIBRATE: Interactive visualization based framework for clustering large datasets, ACM Transactions on Information Systems (TOIS), vol. 24, no. 2, 2006.

Active Research Projects

Privacy preserving cloud computing

Geometric data perturbation

Categorical/transactional data clustering and validation

Learning to rank and ranking function adaptation

Parallel processing algorithms for large-scale visual analytics

Research Interests


Secure and Privacy-Preserving Computing; Databases, Data Mining and Information Visualization; Web Science: Learning to Rank, Ranking Function Adaptation, Web Spam, and Social Computing

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