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Download the fantastic book titled Big Data Mining for Climate Change written by Zhihua Zhang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Big Data Mining for Climate Change", which was released on 01 December 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the genre.

Summary of Big Data Mining for Climate Change by Zhihua Zhang PDF

Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is growing exponentially. This book walks through the latest research and how to navigate the resources available using big data applications. It is appropriate for scientists and advanced students studying climate change from a number of disciplines, including the atmospheric sciences, oceanic sciences, geography, environment sciences, ecology, energy, economics, engineering and public policy. Provides a step-by-step guide for applying big data mining tools to climate and environmental research Presents a comprehensive review of theory and algorithms of big data mining for climate change Includes current research in climate and environmental science as it relates to using big data algorithms

Big Data Mining for Climate Change

Detail About Big Data Mining for Climate Change PDF

  • Author : Zhihua Zhang
  • Publisher : Anonim
  • Genre :
  • Total Pages : 344 pages
  • ISBN : 0128187034
  • PDF File Size : 45,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Big Data Mining for Climate Change

Big Data Mining for Climate Change
  • Publisher : Unknown Publisher
  • File Size : 50,7 Mb
  • Release Date : 01 December 2019
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Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized

Big Data Mining for Climate Change

Big Data Mining for Climate Change
  • Publisher : Elsevier
  • File Size : 34,9 Mb
  • Release Date : 20 November 2019
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Climate change mechanisms, impacts, risks, mitigation, adaption, and governance are widely recognized as the biggest, most interconnected problem facing humanity. Big Data Mining for Climate Change addresses one of the

Computational Intelligent Data Analysis for Sustainable Development

Computational Intelligent Data Analysis for Sustainable Development
  • Publisher : CRC Press
  • File Size : 28,6 Mb
  • Release Date : 19 April 2016
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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,

Data Mining in Large Sets of Complex Data

Data Mining in Large Sets of Complex Data
  • Publisher : Springer Science & Business Media
  • File Size : 47,5 Mb
  • Release Date : 11 January 2013
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The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in

Big Data, Data Mining, and Machine Learning

Big Data, Data Mining, and Machine Learning
  • Publisher : John Wiley & Sons
  • File Size : 31,5 Mb
  • Release Date : 07 May 2014
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With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce

Environmental Studies and Climate Change

Environmental Studies and Climate Change
  • Publisher : CRC Press
  • File Size : 51,9 Mb
  • Release Date : 13 December 2022
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Currently, anthropogenic activities have caused unprecedented destruction of the environment at alarming rates, leading to undesirable alterations in air, land, and water. The process of environment degradation has been accelerated

Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis
  • Publisher : Elsevier
  • File Size : 54,6 Mb
  • Release Date : 11 May 2021
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Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts