Keke Chen

	2010
22		Hua Yan, Keke Chen, Ling Liu, Zhang Yi: SCALE: a scalable framework for efficiently clustering transactional data. Data Min. Knowl. Discov. 20(1): 1-27 (2010)
	2009
21		Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng: On domain similarity and effectiveness of adapting-to-rank. CIKM 2009: 1601-1604
20		Hua Yan, Keke Chen, Ling Liu, Joonsoo Bae: Determining the best K. Data Knowl. Eng. 68(1): 28-48 (2009)
19		Keke Chen, Ling Liu: Privacy-Preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Trans. Parallel Distrib. Syst. 20(12): 1764-1776 (2009)
18		Keke Chen, Ling Liu: "Best K": critical clustering structures in categorical datasets. Knowl. Inf. Syst. 20(1): 1-33 (2009)
17		Keke Chen, Ling Liu: HE-Tree: a framework for detecting changes in clustering structure for categorical data streams. VLDB J. 18(6): 1241-1260 (2009)
	2008
16		Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, Larry Heck, Belle L. Tseng: Trada: tree based ranking function adaptation. CIKM 2008: 1143-1152
15		Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun: Adapting ranking functions to user preference. ICDE Workshops 2008: 580-587
	2007
14		Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun: A General Boosting Method and its Application to Learning Ranking Functions for Web Search. NIPS 2007
13		Keke Chen, Ling Liu: Space adaptation: privacy-preserving multiparty collaborative mining with geometric perturbation. PODC 2007: 324-325
12		Keke Chen, Gordon Sun, Ling Liu: Towards Attack-Resilient Geometric Data Perturbation. SDM 2007
11		Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha: A regression framework for learning ranking functions using relative relevance judgments. SIGIR 2007: 287-294
	2006
10		Hua Yan, Keke Chen, Ling Liu: Efficiently clustering transactional data with weighted coverage density. CIKM 2006: 367-376
9		Keke Chen, Ling Liu: Detecting the Change of Clustering Structure in Categorical Data Streams. SDM 2006
8		Keke Chen, Ling Liu: iVIBRATE: Interactive visualization-based framework for clustering large datasets. ACM Trans. Inf. Syst. 24(2): 245-294 (2006)
	2005
7		Keke Chen, Ling Liu: Privacy Preserving Data Classification with Rotation Perturbation. ICDM 2005: 589-592
6		Keke Chen, Ling Liu: The "Best K" for Entropy-based Categorical Data Clustering. SSDBM 2005: 253-262
	2004
5		Keke Chen, Ling Liu: ClusterMap: labeling clusters in large datasets via visualization. CIKM 2004: 285-293
4		Keke Chen, Ling Liu: VISTA: validating and refining clusters via visualization. Information Visualization 3(4): 257-270 (2004)
	2003
3		Keke Chen, Ling Liu: Validating and Refining Clusters via Visual Rendering. ICDM 2003: 501-504
2		Keke Chen, Ling Liu: Cluster Rendering of Skewed Datasets via Visualization. SAC 2003: 909-916
1		Keke Chen, Ling Liu: A Visual Framework Invites Human into the Clustering Process. SSDBM 2003: 97-106

Coauthor Index

1	Joonsoo Bae	[20]
2	Jing Bai	[21]
3	Olivier Chapelle	[14]
4	Larry Heck	[16]
5	Ling Liu	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [13] [17] [18] [19] [20] [22]
6	Rongqing Lu	[16]
7	Srihari Reddy	[21]
8	Gordon Sun	[11] [12] [14] [15] [16]
9	Belle L. Tseng	[16] [21]
10	Chak-Kuen Wong (C. K. Wong)	[16]
11	Hua Yan	[10] [20] [22]
12	Zhang Yi	[22]
13	Hongyuan Zha	[11] [14] [15]
14	Tong Zhang	[14]
15	Ya Zhang	[15]
16	Zhaohui Zheng	[11] [14] [15]