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. 16, 2018

Filed:

Jun. 17, 2016
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 17/30 (2006.01); G06Q 50/26 (2012.01);
U.S. Cl.
CPC ...
G06F 17/30241 (2013.01); G06F 17/30516 (2013.01); G06F 17/30598 (2013.01); G06F 17/30699 (2013.01); G06F 17/30705 (2013.01); G06F 17/30864 (2013.01); G06Q 50/26 (2013.01);
Abstract

An approach for filtering data is presented. A first geo-hash indicating location information of a person based on profile data or a second geo-hash indicating location information of the person based on an inference is determined to have more characters and is selected as an optimal geo-hash specifying a first geospatial tag. Based on correlations between geospatial tags, time/date stamps, and contextual information, a relationship between first and second entity-metadata elements specifying the 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 the geospatial tags. 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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