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      Book

      Computational Intelligent Data Analysis for Sustainable Development
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      Book

      Computational Intelligent Data Analysis for Sustainable Development

      DOI link for Computational Intelligent Data Analysis for Sustainable Development

      Computational Intelligent Data Analysis for Sustainable Development book

      Computational Intelligent Data Analysis for Sustainable Development

      DOI link for Computational Intelligent Data Analysis for Sustainable Development

      Computational Intelligent Data Analysis for Sustainable Development book

      Edited ByTing Yu, Nitesh Chawla, Simeon Simoff
      Edition 1st Edition
      First Published 2013
      eBook Published 6 May 2013
      Pub. Location New York
      Imprint Chapman and Hall/CRC
      DOI https://doi.org/10.1201/b14799
      Pages 440
      eBook ISBN 9780429111648
      Subjects Environment and Sustainability, Mathematics & Statistics
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      Yu, T., Chawla, N., & Simoff, S. (Eds.). (2013). Computational Intelligent Data Analysis for Sustainable Development (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b14799

      ABSTRACT

      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

      chapter 1|26 pages

      ◾ Computational Intelligent Data Analysis for Sustainable Development: An Introduction and Overview

      chapter 2|26 pages

      ◾ Tracing Embodied CO2 in Trade Using High- Resolution Input–Output Tables

      chapter 3|28 pages

      ◾ Aggregation Effects in Carbon Footprint Accounting Using Multi- Region Input–Output Analysis

      chapter 4|46 pages

      ◾ Climate Informatics

      ByCLAIRE 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

      chapter 5|32 pages

      ◾ Computational Data Sciences for Actionable Insights on Climate Extremes and Uncertainty

      chapter 6|22 pages

      ◾ Mathematical Programming Applications to Land Conservation and Environmental Quality

      chapter 7|62 pages

      ◾ Data Analysis Challenges in the Future Energy

      ByDomain

      chapter 8|30 pages

      ◾ Electricity Supply without Fossil Fuels

      ByJOHN BOLAND, PETER PUDNEY, JERZY FILAR

      chapter 9|30 pages

      ◾ Data Analysis for Real- Time Identification of Grid Disruptions

      chapter 10|28 pages

      ◾ Statistical Approaches for Wind Resource Assessment

      ByKALYAN VEERAMACHANENI, XIANG YE, AND UNA- MAY O’REILLY

      chapter 11|30 pages

      ◾ Spatio- Temporal Correlations in Criminal Offense Records

      ByJAMESON L. TOOLE, NATHAN EAGLE, JOSHUA B. PLOTKIN

      chapter 12|22 pages

      ◾ Constraint and Optimization Techniques for Supporting Policy Making

      ByMARCO GAVANELLI, FABRIZIO RIGUZZI, MICHELA MILANO, PAOLO CAGNOLI
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