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  <titleInfo>
    <title>Computational intelligent data analysis for sustainable development</title>
  </titleInfo>
  <name type="personal">
    <namePart>Yu, Ting</namePart>
    <namePart type="date">1975-</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
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  <genre authority="lcsh">Electronic books.</genre>
  <originInfo>
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    <place>
      <placeTerm type="text">Boca Raton</placeTerm>
    </place>
    <publisher>Taylor &amp; Francis</publisher>
    <dateIssued>2013</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
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    <extent>xviii, 414 p. : ill., maps.</extent>
  </physicalDescription>
  <abstract>"Intelligent data analysis techniques offer powerful solutions to collecting and analyzing vast quantities of environmental and economic data, which lead to better decision making for sustainable development. This volume is the first to discuss the treatment of intelligent data analysis techniques in sustainable development applications. The book describes the emerging use of data mining, machine learning, artificial neural networks, data visualization, knowledge discovery, GIS, and other technologies to tackle environmental, economic, and social issues, including climate change, risk management, and population growth"--</abstract>
  <tableOfContents>section 1. Integrated sustainability analysis -- section 2. Computational intelligent data analysis for climate change -- section 3. Computational intelligent data analysis for biodiversity and species conservation -- section 4. Computational intelligent data analysis for smart grid and renewable energy -- section 5. Computational intelligent data analysis for sociopolitical sustainability.</tableOfContents>
  <note type="statement of responsibility">edited by Ting Yu, Nitesh Chawla, Simeon Simoff.</note>
  <note>Includes bibliographical references and index.</note>
  <note>Also available in print edition.</note>
  <note>Mode of access: World Wide Web.</note>
  <subject authority="lcsh">
    <topic>Sustainable development</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Public works</topic>
    <topic>Planning</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Social policy</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Environmental quality</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
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    <titleInfo>
      <title>Chapman &amp; Hall/CRC data mining and knowledge discovery series</title>
    </titleInfo>
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  <identifier type="isbn">9781439895955 (ebook : PDF)</identifier>
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