System and method for learning models from scarce and skewed training data
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United States of America Patent
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Dec 8, 2009
Grant Date -
Mar 20, 2008
app pub date -
Aug 18, 2006
filing date -
Aug 18, 2006
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Abstract
A system and method for learning models from scarce and/or skewed training data includes partitioning a data stream into a sequence of time windows. A most likely current class distribution to classify portions of the data stream is determined based on observing training data in a current time window and based on concept drift probability patterns using historical information.
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