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163
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BMCBI
2007
15 years 6 months ago
2007
Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
163
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SEBD
2008
15 years 7 months ago
2008
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
197
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IDA
2006
Springer
15 years 6 months ago
2006
Springer
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
154
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WWW
2008
ACM
16 years 7 months ago
2008
ACM
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
190
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MOBIHOC
2007
ACM
16 years 6 months ago
2007
ACM
Outlier detection has many important applications in sensor networks, e.g., abnormal event detection, animal behavior change, etc. It is a difficult problem since global informati...