Keke Chen

	2011
32		Keke Chen, Ramakanth Kavuluru, Shumin Guo: RASP: efficient multidimensional range query on attack-resilient encrypted databases. CODASPY 2011: 249-260
31		Fengguang Tian, Keke Chen: Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds. IEEE CLOUD 2011: 155-162
30		Keke Chen, Huiqi Xu, Fengguang Tian, Shumin Guo: CloudVista: Visual Cluster Exploration for Extreme Scale Data in the Cloud. SSDBM 2011: 332-350
29		Keke Chen, Jing Bai, Zhaohui Zheng: Ranking function adaptation with boosting trees. ACM Trans. Inf. Syst. 29(4): 18 (2011)
28		Keke Chen: On Security of the Utility Preserving RASP Encryption. IACR Cryptology ePrint Archive 2011: 614 (2011)
27		Keke Chen, Ling Liu: Geometric data perturbation for privacy preserving outsourced data mining. Knowl. Inf. Syst. 29(3): 657-695 (2011)
	2010
26		Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen: Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking. COLING (Posters) 2010: 18-26
25		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
24		Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng: On domain similarity and effectiveness of adapting-to-rank. CIKM 2009: 1601-1604
23		Keke Chen, Fengguang Tian: VisGBT: Visually analyzing evolving datasets for adaptive learning. CollaborateCom 2009: 1-10
22		Hua Yan, Keke Chen, Ling Liu, Joonsoo Bae: Determining the best K. Data Knowl. Eng. 68(1): 28-48 (2009)
21		Keke Chen, Ling Liu: Privacy-Preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Trans. Parallel Distrib. Syst. 20(12): 1764-1776 (2009)
20		Keke Chen, Ling Liu: "Best K": critical clustering structures in categorical datasets. Knowl. Inf. Syst. 20(1): 1-33 (2009)
19		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
18		Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, Larry P. Heck, Belle L. Tseng: Trada: tree based ranking function adaptation. CIKM 2008: 1143-1152
17		Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun: Adapting ranking functions to user preference. ICDE Workshops 2008: 580-587
16		Keke Chen, Ling Liu: A Survey of Multiplicative Perturbation for Privacy-Preserving Data Mining. Privacy-Preserving Data Mining 2008: 157-181
	2007
15		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
14		Keke Chen, Ling Liu: Space adaptation: privacy-preserving multiparty collaborative mining with geometric perturbation. PODC 2007: 324-325
13		Keke Chen, Gordon Sun, Ling Liu: Towards Attack-Resilient Geometric Data Perturbation. SDM 2007
12		Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha: A regression framework for learning ranking functions using relative relevance judgments. SIGIR 2007: 287-294
11		Yongjing Lin, Wenyuan Li, Keke Chen, Ying Liu: Model Formulation: A Document Clustering and Ranking System for Exploring MEDLINE Citations. JAMIA 14(5): 651-661 (2007)
	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	[22]
2	Jing Bai	[24] [26] [29]
3	Yi Chang	[26]
4	Olivier Chapelle	[15]
5	Fernando Diaz	[26]
6	Shumin Guo	[30] [32]
7	Larry P. Heck	[18]
8	Ramakanth Kavuluru	[32]
9	Wenyuan Li	[11]
10	Yongjing Lin	[11]
11	Ling Liu	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [13] [14] [16] [19] [20] [21] [22] [25] [27]
12	Ying Liu	[11]
13	Rongqing Lu	[18]
14	Srihari Reddy	[24]
15	Gordon Sun	[12] [13] [15] [17] [18]
16	Fengguang Tian	[23] [30] [31]
17	Belle L. Tseng	[18] [24]
18	Chak-Kuen Wong (C. K. Wong)	[18]
19	Huiqi Xu	[30]
20	Hua Yan	[10] [22] [25]
21	Zhang Yi	[25]
22	Hongyuan Zha	[12] [15] [17]
23	Tong Zhang	[15]
24	Ya Zhang	[17]
25	Zhaohui Zheng	[12] [15] [17] [26] [29]

Colors in the list of coauthors

Last update Tue May 29 01:28:40 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page