 Keke Chen, Jing Bai, Srihari Reddy, and Belle Tseng:
" On Domain Similarity and Effectiveness of Adapting to Rank " (short paper),
ACM Conference on Information and Knowledge Management (CIKM09), 2008.
[ pdf]
- Keke Chen and Fengguang Tian:
" VisGBT: Visually Analyzing Evolving Datasets for Adaptive Learning " (invited paper),
The 5th International Conference on Collaborative Computing (CollaborateCom09), 2009.
[pdf]
- Keke Chen, Rongqing Lu, CK Wong, Gordon Sun, Larry Heck, and Belle Tseng:
" Trada: a Tree-Based Ranking Function Adaptation Approach",
ACM Conference on Information and Knowledge Management (CIKM08), 2008.
[pdf]
- Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha and Gordon Sun: " Adapting Ranking Functions to User Preference
", IEEE Conference on Data Engineering, Workshop on Ranking in Databases, 2008.
[pdf]
-
Keke Chen and LingLiu: "Towards Attack-Resilient Geometric Data Perturbation
", SIAM International Conference on Data Mining, 2007. [pdf]
-
Zhaohui Zheng, Keke Chen, Hongyuan Zha, Gordon Sun:
"A Regression Framework for Learning Ranking Functions Using Relative Relevance Judgments
", SIGIR, 2007. [pdf]
-
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",
in Proceedings of Neural Information Processing Systems (NIPS), Canada, 2007.
[pdf]
-
Keke Chen and Ling liu:
"Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation
", ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 2007) (Brief Announcement)
[pdf]
-
Keke Chen and Ling Liu:
"Detecting Change of Clustering Structure in Categorical Data Stream ",
SIAM Internatational Conference on Data Mining Conference(SDM), 2006.
[pdf]
-
Hua Yan, Keke Chen and Ling Liu,
" Efficiently Clustering Transactional Data with Weighted Coverage Density",
ACM Conference on Information and Knowledge Management (CIKM2006) , November, 2006
[pdf]
- Keke Chen and Ling Liu:
"Privacy-Preserving Data Classification with Rotation Perturbation ",
Proc. of IEEE Intl. Conf on Data Mining 2005 (ICDM05).
[pdf]
- Keke Chen and Ling Liu:
"The ‘Best K’ for Entropy-based Categorical Clustering ",
Proc of Scientific and Statistical Database Management (SSDBM05). Santa
Barbara, CA June 2005.
[pdf]
- Keke Chen and Ling Liu:
"ClusterMap: Labeling Large Datasets via Visualization."
ACM Conf. of Information and Knowledge Management (CIKM04), Washington DC, Nov, 2004
[pdf]
- Keke Chen and Ling Liu:
"Validating and Refining Clusters via Visual Rendering."
Proc. of Intl. Conf. on Data Mining(ICDM03).
Melbourne, FL, November 2003.
[pdf]
- Keke Chen and Ling Liu:
"A Visual Framework Invites Human into the Clustering Process."
Proc. of Scientific and Statistical Database Management (SSDBM03). Cambridge, Boston, July 2003.
[pdf]
- Keke Chen and Ling Liu:
"Cluster Rendering of Skewed Datasets via Visualization."
Proc. of ACM Symposium on Applied Computing(ACM SAC03). Melbourne, FL, March 2003.
[pdf]
|