Author: Keke Chen
Publication Overview
Publication period start: 2008
Number of co-authors: 9
Co-Authors
Number of publications with favourite co-authors
Productive Colleagues
Most productive colleagues in number of publications
Publications
Chen,
Keke,
Liu,
Ling
(2006):
iVIBRATE: Interactive visualization-based framework for clustering large datasets.
In
ACM Transactions on Information Systems,
24
(2)
pp. 245-294.
https://dl.acm.org/doi/10.1145/1148020.1148024
Zheng,
Zhaohui,
Chen,
Keke,
Sun,
Gordon,
Zha,
Hongyuan
(2007):
A regression framework for learning ranking functions using relative relevance judgments.
In:
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
,
2007,
.
pp. 287-294.
https://doi.acm.org/10.1145/1277741.1277792
Chen,
Keke,
Liu,
Ling
(2004):
ClusterMap: labeling clusters in large datasets via visualization.
In:
Grossman,
David A.,
Gravano,
Luis,
Zhai,
Chengxiang,
Herzog,
Otthein,
Evans,
David A.
(eds.)
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management
November 8-13,
2004,
Washington, DC, USA.
pp. 285-293.
https://doi.acm.org/10.1145/1031171.1031233
Yan,
Hua,
Chen,
Keke,
Liu,
Ling
(2006):
Efficiently clustering transactional data with weighted coverage density.
In:
Yu,
Philip S.,
Tsotras,
Vassilis J.,
Fox,
Edward A.,
Liu,
Bing
(eds.)
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management
November 6-11,
2006,
Arlington, Virginia, USA.
pp. 367-376.
https://doi.acm.org/10.1145/1183614.1183668
Chen,
Keke,
Lu,
Rongqing,
Wong,
C. K.,
Sun,
Gordon,
Heck,
Larry,
Tseng,
Belle
(2008):
Trada: tree based ranking function adaptation.
In:
Shanahan,
James G.,
Amer-Yahia,
Sihem,
Manolescu,
Ioana,
Zhang,
Yi,
Evans,
David A.,
Kolcz,
Aleksander,
Choi,
Key-Sun,
Chowdhury,
Abdur
(eds.)
Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008
October 26-30,
2008,
Napa Valley, California, USA.
pp. 1143-1152.
https://doi.acm.org/10.1145/1458082.1458233