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:
Dec. 29, 2020

Filed:

Sep. 05, 2018
Applicant:

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

Inventors:

Gregory A. Porpora, New Fairfield, CT (US);

Janet L. Spann, Herndon, VA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/29 (2019.01); G06F 16/35 (2019.01); G06F 16/28 (2019.01); G06F 16/335 (2019.01); G06F 16/951 (2019.01); G06F 16/2455 (2019.01); G06Q 50/26 (2012.01);
U.S. Cl.
CPC ...
G06F 16/29 (2019.01); G06F 16/24568 (2019.01); G06F 16/285 (2019.01); G06F 16/335 (2019.01); G06F 16/35 (2019.01); G06F 16/951 (2019.01); G06Q 50/26 (2013.01);
Abstract

An approach for filtering data is presented. A relationship between first and second entity-metadata elements specifying a person and a vehicle, respectively, and between the person and the vehicle is determined. Representations of the first and second entity-metadata elements are displayed within a regular polygon that includes locations indicated by a geospatial tag that includes location information about the person extracted from profile information describing the person and by other geospatial tags included in metadata obtained from data extracted from streaming data and data at rest. The metadata includes contextual information that specifies an activity included in a domain of knowledge associated with law enforcement. Based on hidden Markov and support vector machine models, a frequent pattern growth algorithm, and a Kohonen map, another activity of the person is predicted.


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