Computational intelligent data analysis for sustainable development /

Mostrar otras versiones (2)

"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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Yu, Ting, 1975-, Chawla, Nitesh V., Simoff, Simeon
Formato: eBook
Idioma:Inglés
Publicado: Boca Raton : Taylor & Francis, 2013.
Colección:Chapman & Hall/CRC data mining and knowledge discovery series
Temas:
Sustainable development > Data processing.
Public works > Planning > Data processing.
Social policy > Data processing.
Environmental quality > Mathematical models.
Data mining.
Electronic books.
Acceso en línea:Texto completo

MARC

LEADER 00000nam a2200000 a 4500
001 ELB141853
003 FINmELB
005 20201022193357.0
006 m o d |
007 cr cn|||||||||
008 130124s2013 fluaf sb 001 0 eng d
020 |z 9781439895948 (hardback) 
020 |z 9781439895955 (e-book) 
035 |a (OCoLC)872422375 
040 |a FINmELB  |c FINmELB  |d FINmELB 
050 4 |a HC79.E5  |b C61244 2013 
082 0 4 |a 338.9/270285  |2 23 
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 xviii, 414 p., [8] col. plates :  |b col. ill. 
440 0 |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. 
588 |a Description based on metadata supplied by the publisher and other sources. 
590 |a Electronic reproduction. Santa Fe, Arg.: elibro, 2020. Available via World Wide Web. Access may be limited to eLibro affiliated libraries. 
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. 
655 4 |a Electronic books. 
700 1 |a Yu, Ting,  |d 1975- 
700 1 |a Chawla, Nitesh V. 
700 1 |a Simoff, Simeon. 
797 2 |a elibro, Corp. 
856 4 0 |u https://elibro.uam.elogim.com/ereader/bidiuam/141853  |z Texto completo 
950 |a eLibro English 

Ejemplares similares