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Computational intelligent data analysis for sustainable development /

"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 techniq...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Yu, Ting, 1975-, Chawla, Nitesh V., Simoff, Simeon
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : Taylor & Francis, 2013.
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Computational intelligent data analysis for sustainable development /  |c edited by Ting Yu, Nitesh V. Chawla, and Simeon Simoff. 
260 |a Boca Raton :  |b Taylor & Francis,  |c 2013. 
300 |a 1 online resource (xviii, 414 pages, [8] color plates) :  |b color illustrations 
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490 1 |a Chapman & Hall/CRC data mining and knowledge discovery series 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
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. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Sustainable development  |x Data processing. 
650 0 |a Public works  |x Planning  |x Data processing. 
650 0 |a Social policy  |x Data processing. 
650 0 |a Environmental quality  |x Mathematical models. 
650 0 |a Data mining. 
650 2 |a Data Mining 
650 6 |a Développement durable  |x Informatique. 
650 6 |a Travaux publics  |x Planification  |x Informatique. 
650 6 |a Politique sociale  |x Informatique. 
650 6 |a Environnement  |x Qualité  |x Modèles mathématiques. 
650 6 |a Exploration de données (Informatique) 
650 7 |a Data mining  |2 fast 
650 7 |a Environmental quality  |x Mathematical models  |2 fast 
650 7 |a Social policy  |x Data processing  |2 fast 
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700 1 |a Chawla, Nitesh V. 
700 1 |a Simoff, Simeon. 
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776 0 8 |i Print version:  |t Computational intelligent data analysis for sustainable development.  |d Boca Raton : Taylor & Francis, 2013  |w (DLC) 2012050916 
830 0 |a Chapman & Hall/CRC data mining and knowledge discovery series. 
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