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. 06, 2020

Filed:

Jun. 07, 2018
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Chung-Sheng Li, San Jose, CA (US);

Emmanuel Munguia Tapia, San Jose, CA (US);

Mohammad Ghorbani, Foster City, CA (US);

Jingyun Fan, Berkeley, CA (US);

Priyankar Bhowal, Gurgaon, IN;

David Clune, Knoxville, TN (US);

Sumraat Singh, Faridabad, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 40/30 (2020.01); G06F 40/279 (2020.01);
U.S. Cl.
CPC ...
G06F 11/079 (2013.01); G06F 11/0751 (2013.01); G06F 11/0772 (2013.01); G06F 11/0787 (2013.01); G06F 11/0793 (2013.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01);
Abstract

In an example, data, such as, a journal entry in a ledger, to be validated and associated supporting documents may be extracted. Further, an entity, indicative of a feature of the data may be extracted. Based on the extracted entity, one or more probable values for a field of the data may be determined. A probability score may be associated each of the probable values of the field. At least one of the probable values of the field may be compared with an actual value of the field of the data. Based on comparison, a notification indicative of a potential error in the data may generated. The data and historical data associated with the data may be processed, based on at least one of predefined rules and a machine learning technique, to detect an anomaly in the data, the anomaly being related to a contextual information associated with the data.


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