Open AccessIntegrating data-driven forecasting and large-scale optimization to improve humanitarian response planning and preparedness
Author(s) -
Tina Rezvanian
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20328704
Subject(s) - matching (statistics) , computer science , preparedness , operations research , emergency management , stability (learning theory) , scale (ratio) , negotiation , cardinality (data modeling) , risk analysis (engineering) , supply chain , business , economics , engineering , marketing , machine learning , data mining , political science , statistics , physics , mathematics , management , quantum mechanics , law , economic growth
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