US 2020/0005172 A1 · SYSTEM AND METHOD FOR GENERATING MULTI-FACTOR FEATURE EXTRACTION FOR MODELING AND REASONING

Abstract

Aspects of the present disclosure involve systems, methods, devices, and the like for generating a cross-factor model for feature extraction and reasoning. In one embodiment, a system is introduced that can identify a combination of two or more variables associated with an event which can be used for determining a reason for an occurrence of the event. In another embodiment, the collection of cross-factor variables identified are used in conjunction with a model such that the model output provides features associated with the event as well as a reasoning behind the event.

Claims20

Dependent claims

A system comprising:

a non-transitory memory storing instructions;
and
a processor configured to execute instructions to cause the system to:
in response to a determination that new data is available for processing, retrieve a set of data associated with an event;
identify, variables associated with the set of data retrieved;
analyze the variables identified using a cross-factor variable analysis on two or more of the variables;
identify cross-factor variables for describing the event;
filter, the cross-factor variables that do not meet a threshold value criteria;
and
run, a cross-factor model using the filtered cross-factor variables for making a prediction on the event.

7 more elements

Dependencies are inferred from the claim text.

System and method for generating multi-factor feature extraction for modeling and reasoning

Life of this patent

System and method for generating multi-factor feature extraction for modeling and reasoning

Life of this patent

Abstract

Claims20