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Publications of Author

1. Keke Chen, Ling Liu
   ClusterMap: labeling clusters in large datasets via visualization. [Citation Graph (0, 0)][DBLP]
   CIKM, 2004, pp:285-293 [Conf]
   
2. Hua Yan, Keke Chen, Ling Liu
   Efficiently clustering transactional data with weighted coverage density. [Citation Graph (0, 0)][DBLP]
   CIKM, 2006, pp:367-376 [Conf]
   
3. Keke Chen, Ling Liu
   Validating and Refining Clusters via Visual Rendering. [Citation Graph (0, 0)][DBLP]
   ICDM, 2003, pp:501-504 [Conf]
   
4. Keke Chen, Ling Liu
   Privacy Preserving Data Classification with Rotation Perturbation. [Citation Graph (0, 0)][DBLP]
   ICDM, 2005, pp:589-592 [Conf]
   
5. Keke Chen, Ling Liu
   Cluster Rendering of Skewed Datasets via Visualization. [Citation Graph (0, 0)][DBLP]
   SAC, 2003, pp:909-916 [Conf]
   
6. Keke Chen, Ling Liu
   Detecting the Change of Clustering Structure in Categorical Data Streams. [Citation Graph (0, 0)][DBLP]
   SDM, 2006, pp:- [Conf]
   
7. Keke Chen, Ling Liu
   A Visual Framework Invites Human into the Clustering Process. [Citation Graph (0, 0)][DBLP]
   SSDBM, 2003, pp:97-106 [Conf]
   
8. Keke Chen, Ling Liu
   The "Best K" for Entropy-based Categorical Data Clustering. [Citation Graph (0, 0)][DBLP]
   SSDBM, 2005, pp:253-262 [Conf]
   
9. Keke Chen, Ling Liu
   VISTA: validating and refining clusters via visualization. [Citation Graph (0, 0)][DBLP]
   Information Visualization, 2004, v:3, n:4, pp:257-270 [Journal]
   
10. Keke Chen, Ling Liu
    iVIBRATE: Interactive visualization-based framework for clustering large datasets. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2006, v:24, n:2, pp:245-294 [Journal]
    
11. Keke Chen, Ling Liu
    Space adaptation: privacy-preserving multiparty collaborative mining with geometric perturbation. [Citation Graph (0, 0)][DBLP]
    PODC, 2007, pp:324-325 [Conf]
    
12. Keke Chen, Gordon Sun, Ling Liu
    Towards Attack-Resilient Geometric Data Perturbation. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
    
13. Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha
    A regression framework for learning ranking functions using relative relevance judgments. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2007, pp:287-294 [Conf]
    
14. 
    Trada: tree based ranking function adaptation. [Citation Graph (, )][DBLP]
    
    
15. 
    On domain similarity and effectiveness of adapting-to-rank. [Citation Graph (, )][DBLP]
    
    
16. 
    Adapting ranking functions to user preference. [Citation Graph (, )][DBLP]
    
    
17. 
    A General Boosting Method and its Application to Learning Ranking Functions for Web Search. [Citation Graph (, )][DBLP]
    
    
18. 
    VisGBT: Visually analyzing evolving datasets for adaptive learning. [Citation Graph (, )][DBLP]
    
    
19. 
    SCALE: a scalable framework for efficiently clustering transactional data. [Citation Graph (, )][DBLP]
    
    
20. 
    Determining the best K. [Citation Graph (, )][DBLP]