OPERATIONAL RECOMMENDATIONS BASED ON MULTI-JURISDICTIONAL INPUTS

OPERATIONAL RECOMMENDATIONS BASED ON MULTI-JURISDICTIONAL INPUTS

Crime information that corresponds to a set of crimes occurrences is gathered. This information is processed time series datasets associated with geographical regions. Based on the time series datasets, a target geographical region is grouped (clustered) with a set of other geographical regions. Thi...

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Bibliographische Detailangaben
Hauptverfasser: SHAH, Sitara, NARAYANAN, Krishnaprasad, MUKHERJEE, Tridib, BANERJEE, Shisagnee, JOHNSTON, Terry, AGARWAL, Sakshi, ESWARAN, Sharanya, GUPTA, Avantika
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Crime information that corresponds to a set of crimes occurrences is gathered. This information is processed time series datasets associated with geographical regions. Based on the time series datasets, a target geographical region is grouped (clustered) with a set of other geographical regions. This clustering is based on statistical similarities among respective time series datasets. Operational information associated with the geographical regions is received. Based on the operational information, and the clustering, a recommended operational allocation is selected to be used in the target geographical region.