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
Formato: Libro electrónico
Idioma:Inglés
Colección:Chapman & Hall/CRC data mining and knowledge discovery series
Materias:
Acceso en línea:Acceso restringido con credenciales, usuarios UPSA
Ver en Universidad Pontificia de Salamanca:https://catalogo.upsa.es/cgi-bin/koha/opac-detail.pl?biblionumber=722942
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Descripción
Sumario:"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"--
Notas:Autor/es: Yu, Ting,
Autor/es: Chawla, Nitesh V.
Autor/es: Simoff, Simeon.
Descripción Física:1 recurso en línea xviii, 414 p., [8] col. plates : col. ill
Acceso: Acceso restringido con credenciales, usuarios UPSA