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2010
Tsinghua U.
14 years 1 months ago
Local Algorithms for Finding Interesting Individuals in Large Networks
: We initiate the study of local, sublinear time algorithms for finding vertices with extreme topological properties -- such as high degree or clustering coefficient -- in large so...
Mickey Brautbar, Michael Kearns
SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
14 years 4 months ago
FARMER: Finding Interesting Rule Groups in Microarray Datasets
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...
Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Ji...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 5 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
FCSC
2007
130views more  FCSC 2007»
13 years 4 months ago
An improved algorithm for finding community structure in networks with an application to IPv6 backbone network
The discovery of community structure in a large number of complex networks has attracted lots of interest in recent years. One category of algorithms for detecting community struct...
Yingxin Guo, Ke Xu
BMCBI
2010
173views more  BMCBI 2010»
13 years 4 months ago
The Yeast Resource Center Public Image Repository: A large database of fluorescence microscopy images
Background: There is increasing interest in the development of computational methods to analyze fluorescent microscopy images and enable automated large-scale analysis of the subc...
Michael Riffle, Trisha N. Davis