Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Adverse Event Prediction Using Graph-Augmented Temporal Analysis (Final Report)

Technical Report ·
DOI:https://doi.org/10.2172/1481631· OSTI ID:1481631
 [1];  [2];  [1];  [3];  [4];  [1];  [1];  [1];  [1];  [5];  [1];  [1];  [6]
  1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
  2. University of Illinois at Urbana-Champaign, IL (United States)
  3. University of Maryland, College Park, MD (United States)
  4. Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
  5. Missouri University of Science and Technology, Rolla, MO (United States)
  6. University of San Francisco, CA (United States)
+ Show Author Affiliations
This report summarizes the work performed under the Sandia LDRD project "Adverse Event Prediction Using Graph-Augmented Temporal Analysis." The goal of the project was to develop a method for analyzing multiple time-series data streams to identify precursors providing advance warning of the potential occurrence of events of interest. The proposed approach combined temporal analysis of each data stream with reasoning about relationships between data streams using a geospatial-temporal semantic graph. This class of problems is relevant to several important topics of national interest. In the course of this work we developed new temporal analysis techniques, including temporal analysis using Markov Chain Monte Carlo techniques, temporal shift algorithms to refine forecasts, and a version of Ripley's K-function extended to support temporal precursor identification. This report summarizes the project's major accomplishments, and gathers the abstracts and references for the publication submissions and reports that were prepared as part of this work. We then describe work in progress that is not yet ready for publication.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
DOE Contract Number:
AC04-94AL85000; NA0003525
OSTI ID:
1481631
Report Number(s):
SAND--2018-11123; 669598
Country of Publication:
United States
Language:
English

Similar Records

Adverse Event Prediction Using Graph-Augmented Temporal Analysis (Final Report)
Technical Report · Mon Oct 01 00:00:00 EDT 2018 · OSTI ID:1530166
First Application of Geospatial Semantic Graphs to SAR Image Data (LDRD Final Report)
Technical Report · Mon Dec 31 23:00:00 EST 2012 · OSTI ID:1088081
Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data
Patent · Tue Aug 08 00:00:00 EDT 2017 · OSTI ID:1374438

Related Subjects

97 MATHEMATICS AND COMPUTING