Computational Intelligent Data Analysis for Sustainable Development: 1st Edition (e-Book) book cover

Computational Intelligent Data Analysis for Sustainable Development

1st Edition

Edited by Ting Yu, Nitesh Chawla, Simeon Simoff

Chapman and Hall/CRC

440 pages

Purchasing Options:$ = USD
Paperback: 9781138198692
pub: 2016-10-19
Currently out of stock
Hardback: 9781439895948
pub: 2013-04-04
eBook (VitalSource) : 9780429111648
pub: 2016-04-19
from $31.48

FREE Standard Shipping!


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 present

Table of Contents

Integrated Sustainability Analysis. Computational Intelligent Data Analysis for Climate Change. Computational Intelligent Data Analysis for Biodiversity and Species Conservation. Computational Intelligent Data Analysis for Smart Grid and Renewable Energy. Computational Intelligent Data Analysis for Sociopolitical Sustainability. Index.

About the Editors

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.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Database Management / Data Mining
NATURE / Environmental Conservation & Protection