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Title: Forecasting hotspots using predictive visual analytics approach

Abstract

A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1166741
Patent Number(s):
8924332
Application Number:
13/322,626
Assignee:
Purdue Research Foundation (West Lafayette, IN)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Patent
Resource Relation:
Patent File Date: 2010 May 28
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Maciejewski, Ross, Hafen, Ryan, Rudolph, Stephen, Cleveland, William, and Ebert, David. Forecasting hotspots using predictive visual analytics approach. United States: N. p., 2014. Web.
Maciejewski, Ross, Hafen, Ryan, Rudolph, Stephen, Cleveland, William, & Ebert, David. Forecasting hotspots using predictive visual analytics approach. United States.
Maciejewski, Ross, Hafen, Ryan, Rudolph, Stephen, Cleveland, William, and Ebert, David. Tue . "Forecasting hotspots using predictive visual analytics approach". United States. https://www.osti.gov/servlets/purl/1166741.
@article{osti_1166741,
title = {Forecasting hotspots using predictive visual analytics approach},
author = {Maciejewski, Ross and Hafen, Ryan and Rudolph, Stephen and Cleveland, William and Ebert, David},
abstractNote = {A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {12}
}

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Works referenced in this record:

Understanding syndromic hotspots - a visual analytics approach
conference, October 2008


Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts
journal, April 2009