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» Mining emerging patterns by streaming feature selection
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SIGIR
2006
ACM
14 years 1 months ago
Thread detection in dynamic text message streams
Text message stream is a newly emerging type of Web data which is produced in enormous quantities with the popularity of Instant Messaging and Internet Relay Chat. It is benefici...
Dou Shen, Qiang Yang, Jian-Tao Sun, Zheng Chen
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 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...
AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald
MCS
2002
Springer
13 years 7 months ago
Multiclassifier Systems: Back to the Future
Abstract. While a variety of multiple classifier systems have been studied since at least the late 1950's, this area came alive in the 90's with significant theoretical a...
Joydeep Ghosh
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
14 years 4 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar