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:
Aug. 15, 2023

Filed:

Dec. 18, 2020
Applicant:

Royal Bank of Canada, Toronto, CA;

Inventors:

Kanika Vij, Toronto, CA;

Igor Reshynsky, Toronto, CA;

Hameet Jassal, Toronto, CA;

Emma Hu, Toronto, CA;

Min Liang, Toronto, CA;

Adam Lazure, Toronto, CA;

Esther Choi, Toronto, CA;

Rowan Comish, Toronto, CA;

Jingyi Gao, Toronto, CA;

Gladys Leung, Toronto, CA;

Diane Fenton, Toronto, CA;

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06F 16/2455 (2019.01); G06F 16/248 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24573 (2019.01); G06F 16/248 (2019.01); G06F 16/24568 (2019.01);
Abstract

Systems and methods of monitoring for anomalous data records. The system conducts a method including: receiving a data record associated with at least one meta attribute to determine whether subsequent processing of the data record is warranted; generating an anomaly prediction for the data record based on a detection model and the at least one meta attribute associated with the data record, the detection model defined by a plurality of score distribution representations based on quantile bins and a dynamic quantile weight for providing an interim anomaly measure corresponding to respective score distribution representations, wherein the anomaly prediction is generated based on a combination of interim anomaly measures associated with respective meta attributes associated with the data record; and transmitting a signal representing the anomaly prediction for presentation at a user device for identifying one or more data records for subsequent data processes.


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