Big Data Mining for Climate Change
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- Author : Zhihua Zhang
- Publisher : Unknown
- Release : 01 December 2019
- ISBN : 9780128187036
- Page : 344 pages
- Rating : 4.5/5 from 103 voters
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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 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
- Author : Zhihua Zhang
- Publisher : Unknown
- Release Date : 2019-12
- ISBN : 9780128187036
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
Big Data Mining for Climate Change
- Author : Zhihua Zhang,Jianping Li
- Publisher : Elsevier
- Release Date : 2019-11-20
- ISBN : 9780128187043
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 fundamental issues facing scientists of climate or the environment: how to manage the vast amount of information available and analyse it. The resulting integrated and interdisciplinary big data mining approaches are emerging, partially with the help of the United Nation’s big data climate challenge, some of which are recommended
Large-Scale Machine Learning in the Earth Sciences
- Author : Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser
- Publisher : CRC Press
- Release Date : 2017-08-01
- ISBN : 9781498703888
From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire
Manual of Digital Earth
- Author : Huadong Guo,Michael F. Goodchild,Alessandro Annoni
- Publisher : Springer Nature
- Release Date : 2019-11-18
- ISBN : 9789813299153
This open access book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision of Digital Earth, the evolution of that vision, the relevant key technologies, and the role of Digital Earth in helping people respond to global challenges, this publication reveals how and why Digital Earth is becoming vital for acquiring, processing, analysing and mining the rapidly growing volume of global data sets about the Earth. The main aspects of
Big Data and Social Media Analytics
- Author : Mehmet Çakırtaş,Mehmet Kemal Ozdemir
- Publisher : Springer Nature
- Release Date : 2021-07-05
- ISBN : 9783030670443
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and
The History Manifesto
- Author : Jo Guldi,David Armitage
- Publisher : Cambridge University Press
- Release Date : 2014-10-02
- ISBN : 9781316165256
How should historians speak truth to power – and why does it matter? Why is five hundred years better than five months or five years as a planning horizon? And why is history – especially long-term history – so essential to understanding the multiple pasts which gave rise to our conflicted present? The History Manifesto is a call to arms to historians and everyone interested in the role of history in contemporary society. Leading historians Jo Guldi and David Armitage identify a recent
2020 International Conference on Intelligent Engineering and Management (ICIEM)

- Author : IEEE Staff
- Publisher : Unknown
- Release Date : 2020-06-17
- ISBN : 1728140986
Amity University London Campus will be conducting International Conference on Intelligent Engineering and Management We will like to bring together the scholars, scientists and industrialists from all across the world to the wide spectrum of engineering fields to a common platform and achieve the following To present the ongoing researches in different fields and hence to foster research relations between the Universities and the industry Give participants a review of the latest and upcoming trends in the next few years
Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)
- Author : Anonim
- Publisher : World Scientific
- Release Date : 2020-03-10
- ISBN : 9789811204586
This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances
Data Mining and Knowledge Discovery for Big Data
- Author : Wesley W. Chu
- Publisher : Springer Science & Business Media
- Release Date : 2013-09-24
- ISBN : 9783642408373
The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the
Big Data for Urban Sustainability
- Author : Stephen Jia Wang,Patrick Moriarty
- Publisher : Springer
- Release Date : 2018-03-22
- ISBN : 9783319736105
This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment. The book first introduces key aspects of big data, cloud services, pervasive computing, and mobile technologies from a pragmatic design perspective, including sample open source firmware. Cloud services, mobile and embedded platforms, interfaces, operating system design
Data Mining in Large Sets of Complex Data
- Author : Robson Leonardo Ferreira Cordeiro,Christos Faloutsos,Caetano Traina Júnior
- Publisher : Springer Science & Business Media
- Release Date : 2013-01-11
- ISBN : 9781447148906
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 Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation? Can it be made automatically? Based on the work discussed in this book, the answers to both questions are a
Thinking Big Data in Geography
- Author : Jim Thatcher,Andrew Shears,Josef Eckert
- Publisher : U of Nebraska Press
- Release Date : 2018-04
- ISBN : 9780803278820
Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography’s major subdisciplines: urban politics and political economy, human-environment interactions, and geographic information sciences. Part 2 addresses how the geographic study of big data has implications
Spatial Big Data Science
- Author : Zhe Jiang,Shashi Shekhar
- Publisher : Springer
- Release Date : 2017-07-13
- ISBN : 9783319601953
Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data. Specifically, the
Information Technology: New Generations
- Author : Shahram Latifi
- Publisher : Springer
- Release Date : 2016-03-28
- ISBN : 9783319324678
This book collects articles presented at the 13th International Conference on Information Technology- New Generations, April, 2016, in Las Vegas, NV USA. It includes over 100 chapters on critical areas of IT including Web Technology, Communications, Security, and Data Mining.
Carbon Dioxide Capture and Storage
- Author : Intergovernmental Panel on Climate Change. Working Group III.
- Publisher : Cambridge University Press
- Release Date : 2005-12-19
- ISBN : 9780521866439
IPCC Report on sources, capture, transport, and storage of CO2, for researchers, policy-makers and engineers.