Computational Intelligent Data Analysis for Sustainable Development -

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Editeur : Chapman And Hall/Crc

Langue : Anglais

Parution : 01/04/2013

Format : Moyen, de 350g à 1kg

Nombre de pages : 442

Expédition : 748

Dimensions : 24.0 x 16.1 x 2.8

ISBN : 1439895945

Résumé :

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. This volume 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.

Biographie:
Ting Yu, Ph.D., is an honorary research fellow in the Integrated Sustainability Analysis Group at the University of Sydney. He is also a transport modeler for the Transport for NSW. His research interests include machine learning, data mining, parallel computing, applied economics, and sustainability analysis. He earned a Ph.D. in computing science from the University of Technology, Sydney. Nitesh Chawla, Ph.D., is an associate professor in the Department of Computer Science and Engineering, director of the Interdisciplinary Center for Network Science and Applications, and director of the Data Inference Analysis and Learning Lab at the University of Notre Dame. A recipient of multiple awards for research and teaching, Dr. Chawla is chair of the IEEE Computational Intelligence Society Data Mining Technical Committee and associate editor of IEEE Transactions on Systems, Man and Cybernetics (Part B) and Pattern Recognition Letters. His research focuses on machine learning, data mining, and network science. Simeon Simoff, Ph.D., is dean of the School of Computing, Engineering and Mathematics at the University of Western Sydney. He is also a founding director and fellow of the Institute of Analytics Professionals of Australia. He serves on the American Society of Civil Engineering Technical Committees on Data and Information Management and on Intelligent Computing and is an editor of the Australian Computer Society's Conferences in Research and Practice in Information Technology.

Sommaire:
Computational Intelligent Data Analysis for Sustainable Development: An Introduction and Overview Ting Yu, Nitesh Chawla, and Simeon Simoff Integrated Sustainability Analysis Tracing Embodied CO2 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 Computational Intelligent Data Analysis for Climate Change Climate Informatics Claire Monteleoni, Gavin A. Schmidt, Francis Alexander, Alexandru Niculescu-Mizil, Karsten Steinhaeuser, Michael Tippett, Arindam Banerjee, M. Benno Blumenthal, Auroop R. Ganguly, Jason E. Smerdon, and Marco Tedesco Computational Data Sciences for Actionable Insights on Climate Extremes and Uncertainty Auroop R. Ganguly, Evan Kodra, Snigdhansu Chatterjee, Arindam Banerjee, and Habib N. Najm Computational Intelligent Data Analysis for Biodiversity and Species Conservation Mathematical Programming Applications to Land Conservation and Environmental Quality Jacob R. Fooks and Kent D. Messer Computational Intelligent Data Analysis for Smart Grid and Renewable Energy Data Analysis Challenges in the Future Energy Domain Frank Eichinger, Daniel Pathmaperuma, Harald Vogt, and Emmanuel Muller 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'Reilly Computational Intelligent Data Analysis for Sociopolitical Sustainability 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, Fabrizio Riguzzi, Michela Milano, and Paolo Cagnoli Index