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GD
2006
Springer
13 years 8 months ago
Controllable and Progressive Edge Clustering for Large Networks
Node-link diagrams are widely used in information visualization to show relationships among data. However, when the size of data becomes very large, node-link diagrams will become ...
Huamin Qu, Hong Zhou, Yingcai Wu
ICDM
2006
IEEE
124views Data Mining» more  ICDM 2006»
13 years 11 months ago
Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering
Technologies that use the Internet network to deliver voice communications have the potential to reduce costs and improve access to communications services around the world. Howev...
Olivier Verscheure, Michail Vlachos, Aris Anagnost...
TVCG
2008
145views more  TVCG 2008»
13 years 5 months ago
Geometry-Based Edge Clustering for Graph Visualization
Graphs have been widely used to model relationships among data. For large graphs, excessive edge crossings make the display visually cluttered and thus difficult to explore. In thi...
Weiwei Cui, Hong Zhou, Huamin Qu, Pak Chung Wong, ...
INFOCOM
2005
IEEE
13 years 10 months ago
Monotone percolation and the topology control of wireless networks
— This paper addresses the topology control problem for large wireless networks that are modelled by an infinite point process on a two-dimensional plane. Topology control is th...
Anxiao Jiang, Jehoshua Bruck
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 3 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu