System and method for machine learning based line assignment
AssigneeAmerican Express Travel Related Services Company, Inc.
InventorsSanjay S. Agrawal, Anand Bhushan, Anjali Dewan, Amber Gupta, Vivek Hasija, Biplab Mukherjee, Shalu Wadhwa, Di Xu, Hao Zhou
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Abstract
Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A line prediction host may comprise various modules and engines, wherein lookalike records may be identified wherein the line assignment of a credit limit to a prospective account holder may be enhanced for enhanced account member value, wherein the transaction network more properly functions according to approved parameters.
Claims20
A line prediction host comprising:
- a test data set creator configured to create a set of test data,
- wherein the set of test data comprises a plurality of test datums,
- wherein each test datum is representative of a single account holder, and
- wherein each test datum comprises:
- a first independent variable selected from a first independent variable value set;
- a first dependent variable of unknown value;
- and
- a first personal characteristic set.
A line prediction network comprising:
- a line prediction host configured to predict a line assignment;
- wherein the line prediction host directs data to be stored,
- a distributed storage system comprising a plurality of nodes,
- the distributed storage system configured to direct data to the line prediction host;
- and
- a telecommunications transfer channel comprising a network logically connecting the line prediction host to the distributed storage system.
A method of line prediction test data analysis comprising:
- creating a test data set of test datums,
- wherein each test datum includes a first independent variable with a value selected from a first independent variable value set, and a first dependent variable of unknown value, and a first personal characteristic set shared by all test datums of the test data set;
- observing a first dependent variable value of each test datum;
- and
- storing each test datum and observed first dependent variable value.
Dependencies are inferred from the claim text.