System and method for utilizing a model to process big data

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United States of America Patent

PATENT NO 9697476
SERIAL NO

14276876

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Abstract

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A model is implemented that includes one or more classes. For each of the one or more classes of the model, a set of input variables of the big data set are represented as a matrix with non-zero values only provided as diagonal entries. A most likely class for each input variable is determined based at least in part on inverting the matrix. One or more predictions are determined for one or more output variables based at least in part on the most likely class of one or more input variables from the set of input variables.

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Patent Owner(s)

Patent OwnerAddress
DEUTSCHE BANK AG NEW YORK BRANCH60 WALL STREET NEW YORK NY 10005

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Prieditis, Armand Arcata, US 19 165

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