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» Modeling Context-Aware Distributed Knowledge
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TKDE
2012
192views Formal Methods» more  TKDE 2012»
11 years 8 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
EUROSYS
2010
ACM
13 years 11 months ago
PUSH: A Dataflow Shell
The deluge of huge data sets such as those provided by sensor networks, online transactions, and the web provide exciting opportunities for data analysis. The scale of the data ...
Noah Evans, Eric Van Hensbergen
BMCBI
2007
167views more  BMCBI 2007»
13 years 5 months ago
AlzPharm: integration of neurodegeneration data using RDF
Background: Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interopera...
Hugo Y. K. Lam, Luis N. Marenco, Tim Clark, Yong G...
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
14 years 6 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...