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CIKM
2006
Springer
13 years 7 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
BMCBI
2008
160views more  BMCBI 2008»
13 years 5 months ago
VariVis: a visualisation toolkit for variation databases
Background: With the completion of the Human Genome Project and recent advancements in mutation detection technologies, the volume of data available on genetic variations has rise...
Timothy D. Smith, Richard G. H. Cotton