The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 10, 2023

Filed:

Jul. 22, 2019
Applicant:

Adp, Inc., Roseland, NJ (US);

Inventors:

Azhar Khan, Pune, IN;

Arjun Hegde, Pasadena, CA (US);

Dhirendra Kumar, Hyderabad, IN;

Fayaz Shaik, Hyderabad, IN;

Srinivas Kulkarni, Hyderabad, IN;

Ravi Kumar Tadysetty, Hyderabad, IN;

Assignee:

ADP, Inc., Roseland, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/18 (2012.01); G06K 9/62 (2022.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 50/18 (2013.01); G06K 9/6267 (2013.01); G06N 20/00 (2019.01);
Abstract

An illustrative embodiment provides a computer-implemented method for processing wage garnishment court orders includes obtaining a court order for wage garnishment for a user. The method also includes predicting values for a first subset of a number of fields for executing wage garnishment according to the court order using a rule engine. The method also includes predicting values for a second subset of the number of fields using a machine learning engine, wherein the second subset of the number of fields includes missing fields for which the rule engine could not provide a prediction. The machine learning engine includes one of a plurality of classification algorithms. The one of the plurality of classification algorithms selected to use for the machine learning engine for predicting field values is selected according to at least one of accuracy, speed, size of model, and explainability.


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