| 2008 |
|---|
| 14 | EE | Keke Chen,
Ya Zhang,
Zhaohui Zheng,
Hongyuan Zha,
Gordon Sun:
Adapting ranking functions to user preference.
ICDE Workshops 2008: 580-587 |
| 2007 |
|---|
| 13 | EE | Keke Chen,
Ling Liu:
Space adaptation: privacy-preserving multiparty collaborative mining with geometric perturbation.
PODC 2007: 324-325 |
| 12 | EE | Keke Chen,
Gordon Sun,
Ling Liu:
Towards Attack-Resilient Geometric Data Perturbation.
SDM 2007 |
| 11 | EE | 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 | EE | Hua Yan,
Keke Chen,
Ling Liu:
Efficiently clustering transactional data with weighted coverage density.
CIKM 2006: 367-376 |
| 9 | EE | Keke Chen,
Ling Liu:
Detecting the Change of Clustering Structure in Categorical Data Streams.
SDM 2006 |
| 8 | EE | Keke Chen,
Ling Liu:
iVIBRATE: Interactive visualization-based framework for clustering large datasets.
ACM Trans. Inf. Syst. 24(2): 245-294 (2006) |
| 2005 |
|---|
| 7 | EE | 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 | EE | Keke Chen,
Ling Liu:
ClusterMap: labeling clusters in large datasets via visualization.
CIKM 2004: 285-293 |
| 4 | EE | Keke Chen,
Ling Liu:
VISTA: validating and refining clusters via visualization.
Information Visualization 3(4): 257-270 (2004) |
| 2003 |
|---|
| 3 | EE | 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 | EE | Keke Chen,
Ling Liu:
A Visual Framework Invites Human into the Clustering Process.
SSDBM 2003: 97-106 |
