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Volumn , Issue , 2014, Pages 334-339

Improving situational awareness for humanitarian logistics through predictive modeling

Author keywords

GDELT; humanitarian; predictive models; statistical analysis

Indexed keywords

COMMUNICATION; DATABASE SYSTEMS; DECISION TREES; DISASTERS; MEAN SQUARE ERROR; REGRESSION ANALYSIS; STATISTICAL METHODS;

EID: 84903699244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIEDS.2014.6829918     Document Type: Conference Paper
Times cited : (6)

References (15)
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  • 2
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    • Landis, J.R.1    Koch, G.G.2
  • 9
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    • National Consortium for the Study of Terrorism and Responses to Terrorism (START) Retrieved from
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    • (2012) Global Terrorism Database [Data File]
  • 10
    • 84903713555 scopus 로고    scopus 로고
    • GDELT: Global data on events, language, and tone, 1979-2012
    • April San Diego, CA-See more at
    • Leetaru, Kalev and Schrodt, Philip. (2013). "GDELT: Global Data on Events, Language, and Tone, 1979-2012." International Studies Association Annual Conference, April 2013. San Diego, CA-See more at gdeltproject.org/about. html#howtocite
    • (2013) International Studies Association Annual Conference
    • Leetaru, K.1    Schrodt, P.2
  • 11
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    • Measuring agreement for multinomial data
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    • Davies, M.1    Fleiss, J.L.2
  • 15
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    • R: A language and environment for statistical computing
    • R Development Core Team Vienna, Austria. ISBN 3-900051-07-0, URL
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.