Classification method and system for small collections of high-value entities
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United States of America Patent
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Mar 18, 2008
Grant Date -
May 17, 2007
app pub date -
Oct 18, 2005
filing date -
Oct 18, 2005
priority date (Note) -
Expired
status (Latency Note)
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Abstract
A method and system for classifying small collections of high value entities with missing data. The invention includes: collecting measurement variables for a set of entity cases for which classifications are known; calibrating standard weights for each measurement variable based on historical data; computing compensating weights for each entity case that has missing data, computing case scores for each of one or more dimensions as a sum-product of compensating weights and variables associated with each dimension; executing an iterative process that finds a specific combination of compensation weights that best classify the entity cases in terms of distinct scores; and applying a resulting model, which is determined by the specific combination of compensation weights, to classify other entity cases for which the classifications are unknown.
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