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ESANN
2007
15 years 5 months ago
A new feature selection scheme using data distribution factor for transactional data
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
Piyang Wang, Tommy W. S. Chow
BMCBI
2008
204views more  BMCBI 2008»
15 years 4 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
ICPR
2006
IEEE
16 years 5 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
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EUROPAR
2003
Springer
15 years 9 months ago
Distributed Application Monitoring for Clustered SMP Architectures
Abstract. Performance analysis for terascale computing requires a combination of new concepts including distribution, on-line processing and automation. As a foundation for tools r...
Karl Fürlinger, Michael Gerndt
CLUSTER
2004
IEEE
15 years 4 months ago
DyRAM: An Active Reliable Multicast Framework for Data Distribution
Group communications (multicast) are foreseen to be one of the most critical yet challenging technologies to meet the exponentially growing demands for data distribution in a large...
Moufida Maimour, CongDuc Pham