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» Scaling Clustering Algorithms to Large Databases
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APVIS
2007
15 years 3 months ago
GraphScape: integrated multivariate network visualization
In this paper, we introduce a new method, GraphScape, to visualize multivariate networks, i.e., graphs with multivariate data associated with their nodes. GraphScape adopts a land...
Kai Xu 0003, Andrew Cunningham, Seok-Hee Hong, Bru...
SDM
2003
SIAM
183views Data Mining» more  SDM 2003»
15 years 3 months ago
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
Conventional sequential pattern mining methods may meet inherent difficulties in mining databases with long sequences and noise. They may generate a huge number of short and trivi...
Hye-Chung Kum, Jian Pei, Wei Wang 0010, Dean Dunca...
IBPRIA
2005
Springer
15 years 7 months ago
Matching Deformable Regions Using Local Histograms of Differential Invariants
This paper presents a technique to enable deformable regions to be matched using image databases based on the information provided by the differential invariants of local histogram...
Nicolas Pérez de la Blanca, José M. ...
104
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KDD
2009
ACM
164views Data Mining» more  KDD 2009»
16 years 2 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
TON
2008
109views more  TON 2008»
15 years 1 months ago
On hierarchical traffic grooming in WDM networks
Abstract--The traffic grooming problem is of high practical importance in emerging wide-area wavelength division multiplexing (WDM) optical networks, yet it is intractable for any ...
Bensong Chen, George N. Rouskas, Rudra Dutta