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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.:

US 11188819 B1

PDFFull Text
Date of Patent:
Nov. 30, 2021

Filed:

May. 10, 2017

Entity model establishment

Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Yu Gu, Austin, TX (US);

Dingcheng Li, Sunnyvale, CA (US);

Kai Liu, Malden, MA (US);

Su Liu, Austin, TX (US);

Assignee:

International Business Machines Corporation, Armonk, NY (US);

Attorney:

L. Jeffrey Kelly

Primary Examiner:

Luis A Sitiriche

Assistant Examiner:

Sehwan Kim

Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06N 3/04 (2006.01); G06N 5/02 (2006.01); G06N 7/00 (2006.01); G16H 50/50 (2018.01); G16H 10/60 (2018.01); G06F 16/33 (2019.01); G16H 50/20 (2018.01); G16H 30/20 (2018.01); G16H 10/20 (2018.01); G16H 40/67 (2018.01); G06F 40/30 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 16/3344 (2019.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06N 3/0454 (2013.01); G06N 5/022 (2013.01); G06N 5/041 (2013.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G06F 2111/10 (2020.01); G06N 7/005 (2013.01);
Abstract

Disclosed aspects relate to entity model establishment using an infinite mixture topic modeling (IMTM) technique. A set of event data which corresponds to a set of events may be detected. Using the IMTM technique, the set of event data which corresponds to the set of events may be analyzed. Based on analyzing the set of event data using the IMTM technique, a set of entity models for the set of events may be determined. Based on the set of entity models for the set of events, a subset of the set of entity models for the set of events may be established.

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