Big Data Mining For Climate Change

Author : Zhihua Zhang
Publisher : Unknown
Page : 344 pages
File Size : 40,9 Mb
Release : 2019-12
Category : Electronic
ISBN : 9780128187036

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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

Author : Zhihua Zhang,Jianping Li
Publisher : Elsevier
Page : 346 pages
File Size : 54,9 Mb
Release : 2019-11-20
Category : Science
ISBN : 9780128187043

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Big Data Mining for Climate Change by Zhihua Zhang,Jianping Li Pdf

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 widely as new approaches for climate change research. Big Data Mining for Climate Change delivers a rich understanding of climate-related big data techniques and highlights how to navigate huge amount of climate data and resources available using big data applications. It guides future directions and will boom big-data-driven researches on modeling, diagnosing and predicting climate change and mitigating related impacts. This book mainly focuses on climate network models, deep learning techniques for climate dynamics, automated feature extraction of climate variability, and sparsification of big climate data. It also includes a revelatory exploration of big-data-driven low-carbon economy and management. Its content provides cutting-edge knowledge for scientists and advanced students studying climate change from various disciplines, including atmospheric, oceanic and environmental sciences; geography, ecology, energy, economics, management, 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

Author : Valliappa Lakshmanan,Eric Gilleland,Amy McGovern,Martin Tingley
Publisher : Springer
Page : 252 pages
File Size : 55,7 Mb
Release : 2015-06-30
Category : Science
ISBN : 9783319172200

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Machine Learning and Data Mining Approaches to Climate Science by Valliappa Lakshmanan,Eric Gilleland,Amy McGovern,Martin Tingley Pdf

This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 255 pages
File Size : 40,6 Mb
Release : 2023-03-11
Category : Computers
ISBN : 9783031224560

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The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations by Aboul Ella Hassanien,Ashraf Darwish Pdf

This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.

Author : Jennifer Dunn,Prasanna Balaprakash
Publisher : Elsevier
Page : 312 pages
File Size : 54,6 Mb
Release : 2021-05-11
Category : Science
ISBN : 9780128179772

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Data Science Applied to Sustainability Analysis by Jennifer Dunn,Prasanna Balaprakash Pdf

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 need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery Includes considerations sustainability analysts must evaluate when applying big data Features case studies illustrating the application of data science in sustainability analyses

Author : Gaurav Tripathi
Publisher : Springer Nature
Page : 339 pages
File Size : 51,6 Mb
Release : 2024-06-11
Category : Electronic
ISBN : 9789819716852

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Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research by Gaurav Tripathi Pdf

Author : Ting Yu,Nitesh Chawla,Simeon Simoff
Publisher : CRC Press
Page : 443 pages
File Size : 53,8 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439895955

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Computational Intelligent Data Analysis for Sustainable Development by Ting Yu,Nitesh Chawla,Simeon Simoff Pdf

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

Author : Jared Dean
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 46,8 Mb
Release : 2014-05-07
Category : Computers
ISBN : 9781118920701

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Big Data, Data Mining, and Machine Learning by Jared Dean Pdf

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 meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.

Author : Robson Leonardo Ferreira Cordeiro,Christos Faloutsos,Caetano Traina Júnior
Publisher : Springer Science & Business Media
Page : 116 pages
File Size : 42,9 Mb
Release : 2013-01-11
Category : Computers
ISBN : 9781447148906

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Data Mining in Large Sets of Complex Data by Robson Leonardo Ferreira Cordeiro,Christos Faloutsos,Caetano Traina Júnior Pdf

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 sound “yes”, and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation.

Author : S. Finlay
Publisher : Springer
Page : 260 pages
File Size : 51,5 Mb
Release : 2014-07-01
Category : Business & Economics
ISBN : 9781137379283

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Predictive Analytics, Data Mining and Big Data by S. Finlay Pdf

This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Author : R C Sobti,Sandeep K. Malhotra,Kamal Jaiswal,Sanjeev Puri
Publisher : CRC Press
Page : 629 pages
File Size : 41,6 Mb
Release : 2022-12-13
Category : Nature
ISBN : 9781000782554

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Environmental Studies and Climate Change by R C Sobti,Sandeep K. Malhotra,Kamal Jaiswal,Sanjeev Puri Pdf

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 by industrial processes, which result in waste as well as over-consumption of natural resources. The ecological balance has been disturbed, and resources have shrunk. All this has resulted in climate change, which has emerged as a major concern in the 21st century. Changes in the environment are driven by demand for energy, water, and food to raise the standard of living. These are also responsible for climate change, with contributions from deforestation and CO2 emissions from fossil fuels such as coal and petroleum. The present volume discusses some of the main issues regarding environmental degradation and the causes as well as the impact of climate change, which is impacting the ecosystem. The effects of various pollutants, causes of climate change with case studies on geochemistry and glaciers, etc., and measures to reduce the impact on biodiversity, health, etc. are discussed in detail in its chapters. In a nutshell, this volume discusses in detail the following issues: • Anthropogenic and natural factors in environmental degradation • Climate change history, causes, and threats to abiotic and biotic systems • Case studies on the impact of climate change and living systems • Mitigation and preparedness for the future

Author : Wesley W. Chu
Publisher : Springer Science & Business Media
Page : 311 pages
File Size : 54,9 Mb
Release : 2013-09-24
Category : Technology & Engineering
ISBN : 9783642408373

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Data Mining and Knowledge Discovery for Big Data by Wesley W. Chu Pdf

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 problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Author : Mehmet Çakırtaş,Mehmet Kemal Ozdemir
Publisher : Springer Nature
Page : 246 pages
File Size : 48,8 Mb
Release : 2021-07-05
Category : Mathematics
ISBN : 9783030670443

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Big Data and Social Media Analytics by Mehmet Çakırtaş,Mehmet Kemal Ozdemir Pdf

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 co-authorship network analysis, and blog data analytics. All these trending topics form a major part of the state of the art in social media and big data analytics. Thus, this edited book may be considered as a valuable source for readers interested in grasping some of the most recent advancements in this high trending domain.

Author : Steven M. Manson
Publisher : Cambridge University Press
Page : 271 pages
File Size : 44,5 Mb
Release : 2023-01-31
Category : Business & Economics
ISBN : 9781108486286

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Big Data and Human-Environment Systems by Steven M. Manson Pdf

The first comprehensive treatment of data science as a new and powerful way to understand and manage human-environment interactions.

Author : Anonim
Publisher : World Scientific
Page : 1001 pages
File Size : 48,5 Mb
Release : 2020-03-10
Category : Computers
ISBN : 9789811204586

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Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) by Anonim Pdf

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 in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.