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:
Oct. 07, 2025

Filed:

Sep. 09, 2021
Applicant:

Fair Isaac Corporation, Roseville, MN (US);

Inventors:

Scott Michael Zoldi, San Diego, CA (US);

Jim Coggeshall, San Diego, CA (US);

Yuting Jia, San Diego, CA (US);

Assignee:

Fair Isaac Corporation, Minneapolis, MN (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/18 (2006.01); G06N 3/084 (2023.01); G06N 5/02 (2023.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G06F 17/18 (2013.01); G06N 3/084 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01);
Abstract

A predictive analytics system and method in the setting of multi-class classification are disclosed, for identifying systematic changes in an evaluation dataset processed by a fraud-detection model by examining the time series histories of an ensemble of entities such as accounts. The ensemble of entities is examined and processed both individually and in aggregate, via a set of features determined previously using a distinct training dataset. The specific set of features in question may be calculated from the entity's time series history, and may or may not be used by the model to perform the classification. Certain properties of the detected changes are measured and used to improve the efficacy of the predictive model.


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