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Cover: 9780128187036 | Big Data Mining for Climate Change | Zhihua Zhang (u. a.) | Buch
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Big Data Mining for Climate Change
Taschenbuch von Zhihua Zhang (u. a.)
Sprache: Englisch

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Beschreibung
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.

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.

Inhaltsverzeichnis
1. Big Datasets and Platforms for Climate Change2. Feature Extraction of Big Climate Data3. Deep learning for Climate Patterns4. Climate Networks5. Random Networks and Climate Entropy6. Spectra of Climate Networks7. Simulations of Climate Systems8. Dimension reduction9. Big Data Analysis for Carbon Footprint10. Big Data Driven Low Carbon Management
Details
Erscheinungsjahr: 2019
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780128187036
ISBN-10: 0128187034
Sprache: Englisch
Herstellernummer: C2018-0-00973-1
Autor: Zhang, Zhihua
Li, Jianping
Redaktion: Zhang, Zhihua
Li, Jianping
Hersteller: Elsevier
Elsevier Science & Technology
Maße: 15 x 152 x 229 mm
Von/Mit: Zhihua Zhang (u. a.)
Erscheinungsdatum: 20.11.2019
Gewicht: 0,561 kg
Artikel-ID: 126701453
Inhaltsverzeichnis
1. Big Datasets and Platforms for Climate Change2. Feature Extraction of Big Climate Data3. Deep learning for Climate Patterns4. Climate Networks5. Random Networks and Climate Entropy6. Spectra of Climate Networks7. Simulations of Climate Systems8. Dimension reduction9. Big Data Analysis for Carbon Footprint10. Big Data Driven Low Carbon Management
Details
Erscheinungsjahr: 2019
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780128187036
ISBN-10: 0128187034
Sprache: Englisch
Herstellernummer: C2018-0-00973-1
Autor: Zhang, Zhihua
Li, Jianping
Redaktion: Zhang, Zhihua
Li, Jianping
Hersteller: Elsevier
Elsevier Science & Technology
Maße: 15 x 152 x 229 mm
Von/Mit: Zhihua Zhang (u. a.)
Erscheinungsdatum: 20.11.2019
Gewicht: 0,561 kg
Artikel-ID: 126701453
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