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» Informative sampling for large unbalanced data sets
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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 1 months ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...
BMCBI
2005
114views more  BMCBI 2005»
13 years 7 months ago
Signal transduction pathway profiling of individual tumor samples
Background: Signal transduction pathways convey information from the outside of the cell to transcription factors, which in turn regulate gene expression. Our objective is to anal...
Thomas Breslin, Morten Krogh, Carsten Peterson, Ca...
ISNN
2005
Springer
14 years 1 months ago
An Information Criterion for Informative Gene Selection
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
Fei Ge, Jinwen Ma
SOCIALCOM
2010
13 years 5 months ago
Traffic in Social Media I: Paths Through Information Networks
Wikipedia is used every day by people all around the world, to satisfy a variety of information needs. We crosscorrelate multiple Wikipedia traffic data sets to infer various behav...
Jacob Ratkiewicz, Alessandro Flammini, Filippo Men...
EUROPAR
2009
Springer
14 years 9 days ago
Detailed Performance Analysis Using Coarse Grain Sampling
Performance evaluation tools enable analysts to shed light on how applications behave both from a general point of view and at concrete execution points, but cannot provide detaile...
Harald Servat, Germán Llort, Judit Gimenez,...