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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 9 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
CIKM
2009
Springer
14 years 3 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
SIGMOD
2010
ACM
202views Database» more  SIGMOD 2010»
14 years 1 months ago
PAROS: pareto optimal route selection
Modern maps provide a variety of information about roads and their surrounding landscape allowing navigation systems to go beyond simple shortest path computation. In this demo, w...
Franz Graf, Hans-Peter Kriegel, Matthias Renz, Mat...
BMCBI
2007
91views more  BMCBI 2007»
13 years 8 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
BMCBI
2010
105views more  BMCBI 2010»
13 years 8 months ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson