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  <title>Improving Disaster Resilience and Mitigation - IT Means and Tools</title>
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  <namePart>Teodorescu, Horia-Nicolai</namePart>
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  <namePart>Kirschenbaum, Alan</namePart>
  <role>
   <roleTerm type="text">Editor</roleTerm>
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  <namePart>Cojocaru, Svetlana</namePart>
  <role>
   <roleTerm type="text">Editor</roleTerm>
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  <namePart>Bruderlein, Claude</namePart>
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   <roleTerm type="text">Editor</roleTerm>
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   <placeTerm type="text">Dordrecht</placeTerm>
   <publisher>Springer</publisher>
   <dateIssued>2014</dateIssued>
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  <languageTerm type="code">en</languageTerm>
  <languageTerm type="text">English</languageTerm>
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  <extent>xvi, 344 p. : Illust. ; 25 cm</extent>
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 <note>The focus of this volume is comprised of the fundamentals, models, and information technologies (IT) methods and tools for disaster prediction and mitigation. A more detailed list of topics includes mathematical and computational modeling of processes leading to or producing disasters, modeling of disaster effects, IT means for disaster mitigation, including data mining tools, knowledge-based and expert systems for use in disaster circumstances, GIS-based systems for disaster prevention and mitigation, and equipment for disaster-prone areas. A specific type or class of disasters (natural or human-made), however will not be part of the main focus of this work. Instead, this book was conceived to offer a comprehensive, integrative view on disasters, seeking to determine what various disasters have in common. Because disaster resilience and mitigation involve humans, societies, and cultures, not only technologies and economic models, special attention was paid in this volume to gain a comprehensive view on these issues, as a foundation of the IT tool design.</note>
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  <topic>Computer Science</topic>
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  <topic>Information Technology</topic>
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  <topic>Geology</topic>
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 <subject authority="">
  <topic>Geographic Information Systems</topic>
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 <subject authority="">
  <topic>Natural Disasters</topic>
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 <subject authority="">
  <topic>Emergency Management--Data Processing</topic>
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  <topic>Computer Simulation</topic>
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  <topic>Application Software</topic>
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 <classification>004</classification>
 <identifier type="isbn">9789401791359</identifier>
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  <departmentName>Geophysical Engineering</departmentName>
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  <departmentName>Electrical Engineering</departmentName>
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