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03402aam a22003978i 4500 001 FFD5389A6B5411E69AFE1DDBDAD10320 003 SILO 005 20160826010517 008 130124s2013 fluaf b 001 0 eng 010 $a 2012050916 020 $a 1439895945 (hardback) 020 $a 9781439895948 (hardback) 035 $a (OCoLC)744303856 040 $a DLC $b eng $e rda $c DLC $d BTCTA $d UKMGB $d OCLCO $d YDXCP $d BWX $d IUL $d YUS $d OCLCQ $d PMC $d MYG $d IWA $d SILO 042 $a pcc 050 00 $a HC79 E5 C61244 2013 245 00 $a Computational intelligent data analysis for sustainable development / $c edited by Ting Yu, Nitesh V. Chawla, and Simeon Simoff. 264 1 $a Boca Raton : $b CRC Press, $c 2013. 300 $a xviii, 414 pages, 8 pages of plates : $b illustrations (some color) ; $c 24 cm. 490 1 $a Chapman & Hall/CRC data mining and knowledge discovery series 504 $a Includes bibliographical references and index. 505 0 $a Tracing embodied COÌ in trade using high-resolution input-output tables / Daniel Moran and Arne Geschke -- Aggregation effects in carbon footprint accounting using multi-region input-output analysis / Xin Zhou, Hiroaki Shirakawa, and Manfred Lenzen -- Climate informatics / Claire Monteleoni ... [et al.] -- Computational data sciences for actionable insights on climate extremes and uncertainty / Auroop R. Ganguly ... [et al.] -- Mathematical programming applications to land conservation and environmental quality / Jacob R. Fooks and Kent D. Messer -- Data analysis challenges in the future energy domain / Frank Eichinger ... [et al.] -- Electricity supply without fossil fuels / John Boland, Peter Pudney, and Jerzy Filar -- Data analysis for real-time identification of grid disruptions / Varun Chandola, Olufemi Omitaomu, and Steven J. Fernandez -- Statistical approaches for wind resource assessment / Kalyan Veeramachaneni, Xiang Ye, and Una-May O'Rielly -- Spatio-temporal correlations in criminal offense records / Jameson L. Toole, Nathan Eagle, and Joshua B. Plotkin -- Constraint and optimization techniques for supporting policy making / Marco Gavanelli ... [et al.]. 520 $a "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"-- $c Provided by publisher. 650 0 $a Sustainable development $x Data processing. 650 0 $a Public works $x Data processing. $x Data processing. 650 0 $a Social policy $x Data processing. 650 0 $a Environmental quality $x Mathematical models. 650 0 $a Data mining. 700 1 $a Yu, Ting, $d 1975- 700 1 $a Chawla, Nitesh V. 700 1 $a Simoff, Simeon J., $d 1962- 830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series 941 $a 1 952 $l USUX851 $d 20160826072952.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=FFD5389A6B5411E69AFE1DDBDAD10320 994 $a C0 $b IWAInitiate Another SILO Locator Search