Computational Intelligent Data Analysis for Sustainable Development

Authors: 
Yu, Ting, Nitesh V. Chawla, and Simeon J. Simoff
Citation: 
Computational Intelligent Data Analysis for Sustainable Development. CRC Press, 2013.
Publication Date: 
April, 2013

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development presents novel methodologies for automatically processing these types of data to support rational decision making for sustainable development. Through numerous case studies and applications, it illustrates important data analysis methods, including mathematical optimization, machine learning, signal processing, and temporal and spatial analysis, for quantifying and describing sustainable development problems.