TY  - BOOK
AU  - Yu,Ting
AU  - Chawla,Nitesh V.
AU  - Simoff,Simeon
ED  - ProQuest (Firm)
TI  - Computational intelligent data analysis for sustainable development
AV  - HC79.E5 C61244 2013
U1  - 338.9/270285 23
PY  - 2013///
CY  - Boca Raton
PB  - Taylor & Francis
KW  - Sustainable development
KW  - Data processing
KW  - Public works
KW  - Planning
KW  - Social policy
KW  - Environmental quality
KW  - Mathematical models
KW  - Data mining
KW  - Electronic books
N1  - Includes bibliographical references and index; 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; Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries
N2  - "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"--
UR  - https://ebookcentral.proquest.com/lib/aitie/detail.action?docID=1172607
ER  -