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.
Patent No.:
Date of Patent:
Jun. 30, 2026
Filed:
Sep. 16, 2020
Blackrock Finance, Inc., New York, NY (US);
Simon Lyons, Edinburgh, GB;
Rafal Michal Jankowski, Newport, GB;
Hristo Paskov, Stanford, CA (US);
Andrew John Mcneill, Edinburgh, GB;
Stephen Poythress Boyd, Stanford, CA (US);
Trevor John Hastie, Stanford, CA (US);
Emmanuel Candes, Stanford, CA (US);
BlackRock Finance, Inc., New York, NY (US);
Abstract
Embodiments described herein provide a probabilistic approach using a probabilistic classifier to detect anomalous categorical data, e.g., data points in non-numerical data fields. Specifically, the probabilistic classifier may generate a conditional probability distribution of a data attribute, such as the 'country of origin' field in a bond data record, conditioned on various other data attributes of the bond data record obtained from different databases. The generated conditional probability corresponding to the data attribute of the store non-numerical value, e.g., the “country of origin” equals a certain country code as stored, may indicate whether a data anomaly exists with the stored value for this particular data attribute. When an anomaly is detected with a data attribute, the categorical value associated with the highest conditional probability corresponding to the data attribute may be provided as the suggested value for the data attribute.