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Conference Paper
Keke Chen, Ling Liu. The "Best K" for Entropy-based Categorical Clustering. In The "Best K" for Entropy-based Categorical Clustering. 2005.  (0 bytes)
Ling Liu, Keke Chen. Cluster Rendering of Skewed Datasets via Visualization. In Cluster Rendering of Skewed Datasets via Visualization. 2003.  (0 bytes)
Keke Chen, Ling Liu. ClusterMap: Labeling Large Datasets via Visualization. In ClusterMap: Labeling Large Datasets via Visualization. 2004.  (0 bytes)
Ling Liu, Keke Chen. Detecting Change of Clustering Structure in Categorical Data Stream. In Detecting Change of Clustering Structure in Categorical Data Stream. 2006.  (0 bytes)
Hua Yan, Keke Chen, Ling Liu. Efficiently Clustering Transactional Data with Weighted Coverage Density. In Efficiently Clustering Transactional Data with Weighted Coverage Density. 2006.  (0 bytes)
Keke Chen, Ling Liu. Privacy-Preserving Data Classification with Rotation Perturbation. In IEEE International Conference on Data Mining 2005 (ICDM 2005). Houston, Texas; 2005.
Keke Chen, Ling Liu. Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation. In Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation. 2007.  (0 bytes)
Ling Liu, Keke Chen. Towards Attack-Resilient Geometric Data Perturbation. In Towards Attack-Resilient Geometric Data Perturbation. 2007.  (0 bytes)
Ling Liu, Keke Chen. Validating and Refining Clusters via Visual Rendering. In Validating and Refining Clusters via Visual Rendering. 2003.  (0 bytes)
Ling Liu, Keke Chen. A Visual Framework Invites Human into the Clustering Process. In A Visual Framework Invites Human into the Clustering Process. 2003.  (0 bytes)
Journal Article
Ling Liu, Keke Chen. Best K: the Critical Clustering Structures in Categorical Data. 2008 ;.  (0 bytes)
Hua Yan, Keke Chen, Ling Liu. Determining the Best K for Clustering Transactional Datasets: A Coverage Density-based Approach. 2008 ;.  (536 KB)
Ling Liu, Keke Chen. Document Clustering and Ranking System for Exploring MEDLINE Citations. 2007 ;.  (0 bytes)
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2011 ;.  (1.21 MB)
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2010 ;.  (1.21 MB)
Keke Chen, Ling Liu. HE-Tree: a Framework for Detecting Changes in Clustering Structure for Categorical Data Streams. 2009 ;.
Keke Chen, Ling Liu. iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets. 2006 ;.  (0 bytes)
Keke Chen, Ling Liu. Privacy-preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Transactions on Parallel and Distributed Systems. 2009 ;.
Hua Yan, Keke Chen, Ling Liu, Zhang Yi. SCALE: a Scalable Framework for Efficiently Clustering Large Transactional Data. Journal of Data Mining and Knowledge Discovery (DMKD). 2010 ;.  (349.91 KB)
Keke Chen, Hua Yan, Ling Liu. SCALE: a Scalable Framework for Efficiently Clustering Large Transactional Data. Journal of Data Mining and Knowledge Discovery (DMKD). 2009 ;.  (349.91 KB)
Keke Chen, Ling Liu. VISTA: Validating and Refining Clusters via Visualization. Information Visualization. Journal for information vizualization. 2004 ;.