Patent ID: 6631360
Filing Date: 2003-10-07
Classification: G06N,G06Q

Abstract:
A method of selecting which inference engine of a plurality of inference engines to use to create an estimated density function and a decision array for use in predicting the categories into which individuals fall and produce forecast reports based on the predictions, said method comprising:a) a training process comprising 1) sequentially applying training sample data that categorizes individuals based on the individuals' profile features to multiple inference engines to determine which inference engine is best based on a desired objective; 2) creating an estimated density function and a density array for the best inference engine; and 3) storing the estimated density function and decision array for the best inference engine; and b) an unknown sample data analysis process comprising: 1) using the stored estimated density function and decision array for the best inference engine to analyze unknown sample data that includes the profile features of individuals and predict the categories into which individuals fall; and 2) creating forecast reports based on the predicted categories.