Classification for small collections of high-value entities

Details Classification for small collections of high-value entities Classification for small collections of high-value entities

2011-08-16

2011-08-16

Holmes, Michael B (Department: 2129)

Data processing: artificial intelligence

Machine learning

Reexamination Certificate

active

08001060

ABSTRACT:
A method and system for classifying small collections of hi-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.

REFERENCES:
patent: 7346594 (2008-03-01), Ricketts
patent: 7461034 (2008-12-01), Ricketts
patent: 7483865 (2009-01-01), Ricketts

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