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SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
15 years 5 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
BMCBI
2006
131views more  BMCBI 2006»
15 years 4 months ago
SIMAGE: simulation of DNA-microarray gene expression data
Background: Simulation of DNA-microarray data serves at least three purposes: (i) optimizing the design of an intended DNA microarray experiment, (ii) comparing existing pre-proce...
Casper J. Albers, Ritsert C. Jansen, Jan Kok, Osca...
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
15 years 11 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
ICICS
2007
Springer
15 years 8 months ago
Time and Space Efficient Algorithms for Two-Party Authenticated Data Structures
Authentication is increasingly relevant to data management. Data is being outsourced to untrusted servers and clients want to securely update and query their data. For example, in ...
Charalampos Papamanthou, Roberto Tamassia
DATAMINE
2006
166views more  DATAMINE 2006»
15 years 4 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis