Greg Kinne Phones & Addresses
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Wells, VT
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Port Monmouth, NJ
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Dorset, VT
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Hoboken, NJ
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New York, NY
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Stamford, CT
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Fairfield, CT
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Miami Beach, FL
Publications
Us Patents
Method And Apparatus For Multi-Domain Anomaly Pattern Definition And Detection
View pageUS Patent:
20120136676, May 31, 2012
Filed:
Nov 29, 2011
Appl. No.:
13/306234
Inventors:
Colin Goodall - Rumson NJ, US
Guy Jacobson - Bridgewater NJ, US
Greg B. Kinne - Middletown VA, US
Arnold Lent - Morganville NJ, US
Guy Jacobson - Bridgewater NJ, US
Greg B. Kinne - Middletown VA, US
Arnold Lent - Morganville NJ, US
Assignee:
AT&T Intellectual Property I, L.P. - Atlanta GA
International Classification:
G06Q 50/22
US Classification:
705 2
Abstract:
Disclosed herein is a multi-domain anomaly pattern definition and detection module. The module receives raw data from different kinds of anomalies from a variety of detection algorithms and generates scores associated with the data. If any scores exceed a threshold, the algorithm gathers further information such as counts or listings of detailed data for a geographic region. The detailed data can include emergency department and lab department data related to a particular health concern such as a respiratory syndrome. Summaries can identify anomalies and numbers of events according to geographic region and utilizing probability algorithms. Other databases such as animal data collected under the Department of Agriculture may also be utilized. The data is presented in a familiar form such as a map or a table such that a subject matter expert may determine whether to further investigate an anomaly as a potential risk, for example, a health risk.
Method And Apparatus For Multi-Domain Anomaly Pattern Definition And Detection
View pageUS Patent:
8090592, Jan 3, 2012
Filed:
Oct 31, 2007
Appl. No.:
11/931789
Inventors:
Colin Goodall - Rumson NJ, US
Guy Jacobson - Bridgewater NJ, US
Greg B. Kinne - Middletown VA, US
Arnold Lent - Morganville NJ, US
Guy Jacobson - Bridgewater NJ, US
Greg B. Kinne - Middletown VA, US
Arnold Lent - Morganville NJ, US
Assignee:
AT&T Intellectual Property I, L.P. - Atlanta GA
International Classification:
G06Q 50/00
US Classification:
705 2
Abstract:
Disclosed herein is a multi-domain anomaly pattern definition and detection module. The module receives raw data from different kinds of anomalies from a variety of detection algorithms and generates scores associated with the data. If one or more scores exceed a threshold, then the algorithm gathers further information which may include counts or listings of detailed data for a geographic region which may include such information as emergency department and lab department data related to a particular health concern such as a respiratory syndrome. Summaries are provided which may identify anomalies and numbers of events according to geographic region and utilizing probability algorithms. Other databases such as animal data collected under the Department of Agriculture may also be utilized. The data is presented in a familiar form such as a map or a table such that a subject matter expert may determine whether to further investigate an anomaly as a potential risk, for example, a health risk.