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SIGMOD
2009
ACM
14 years 10 months ago
2009
ACM
Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key fea...
NIPS
2003
13 years 11 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
: This paper will propose a novel star schema attribute induction as a new attribute induction paradigm and as improving from current attribute oriented induction. A novel star sch...
DAWAK
2009
Springer
13 years 7 months ago
2009
Springer
Enhancing on line analytical processing through efficient cube computation plays a key role in Data Warehouse management. Hashing, grouping and mining techniques are commonly used ...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...