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» Analysis techniques for microarray time-series data
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CCE
2005
13 years 8 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
MMM
2008
Springer
128views Multimedia» more  MMM 2008»
14 years 3 months ago
Semantic Quantization of 3D Human Motion Capture Data Through Spatial-Temporal Feature Extraction
3D motion capture is a form of multimedia data that is widely used in animation and medical fields (such as physical medicine and rehabilitation where body joint analysis is neede...
Yohan Jin, B. Prabhakaran
DATAMINE
2008
219views more  DATAMINE 2008»
13 years 8 months ago
Correlating burst events on streaming stock market data
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
ICML
2007
IEEE
14 years 9 months ago
Hybrid huberized support vector machines for microarray classification
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
Li Wang, Ji Zhu, Hui Zou
IDEAS
2000
IEEE
90views Database» more  IDEAS 2000»
14 years 1 months ago
StreamJoin: A Generic Database Approach to Support the Class of Stream-Oriented Applications
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
Clara Nippl, Ralf Rantzau, Bernhard Mitschang