Big Data Mining for Climate Change

• Author : Zhihua Zhang
• Publisher : Unknown
• Release : 01 December 2019

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

• Author : Zhihua Zhang,Jianping Li
• Publisher : Elsevier
• Release : 20 November 2019

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

• Author : Brian C. Castellani,Rajeev Rajaram
• Publisher : SAGE
• Release : 26 March 2022

This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide everything needed to explore, evaluate and review big data concepts and techniques.

• Author : Zhihua Zhang,John C. Moore
• Publisher : Elsevier
• Release : 06 December 2014

Mathematical and Physical Fundamentals of Climate Change is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research. The book begins with basic mathematics then leads on to specific applications in atmospheric and ocean dynamics, such as fluid dynamics, atmospheric dynamics, oceanic dynamics, and glaciers and sea level rise. Mathematical and Physical Fundamentals of Climate Change provides a solid foundation in math and physics

• Author : Safaa Khalil Alwajidi
• Publisher : Unknown
• Release : 14 June 2021

Big data analysis is essential for many smart applications in areas such as connected healthcare, intelligent transportation, human activity recognition, environment, and climate change monitoring. Traditional data mining algorithms do not scale well to big data due to the enormous number of data points and the velocity of their generation. Mining and learning from big data need time and memory efficiency techniques, albeit the cost of possible loss in accuracy. This research focuses on the mining of big data using

• Author : Robson Leonardo Ferreira Cordeiro,Christos Faloutsos,Caetano Traina Júnior
• Publisher : Springer Science & Business Media
• Release : 11 January 2013

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

• Author : Zhihua Zhang,John C. Moore
• Publisher : Elsevier
• Release : 13 November 2017

"Mathematical and Physical Fundamentals of Climate Change" is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research. The book begins with basic mathematics then leads on to specific applications in atmospheric and ocean dynamics, such as fluid dynamics, atmospheric dynamics, oceanic dynamics, and glaciers and sea level rise. "Mathematical and Physical Fundamentals of Climate Change" provides a solid foundation in math and physics

• Author : Sam Goundar,Praveen Kumar Rayani
• Publisher : IGI Global
• Release : 14 June 2021

"This book addresses the newest innovative and intelligent applications related to utilizing the large amounts of big data being generated that is increasingly driving decision making and changing the landscape of business intelligence, from governments to private organizations, from communities to individuals"--

• Author : James J. Duderstadt
• Publisher : Unknown
• Release : 14 June 2021

University presidents are expected to draw upon their experinces to draft a book suggesting possible futures for higher education. Since my term of o ce ended in 1996, as the new century approached, it was natural to label this assignment as A University for the 21st Century, a book that was awarded the Alice Beeman Award of CASE (the Council on Advancement and Support of Education) in 2001.Although this e ort was heavily in uenced by my experience in serving the

• Author : Ajay Ohri
• Publisher : John Wiley & Sons
• Release : 13 November 2017

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete

• Author : Bikal Dhungel
• Publisher : GRIN Verlag
• Release : 28 October 2020

Master's Thesis from the year 2020 in the subject Health - Health Sciences - Health Logistics, grade: 1,7, Linnaeus University (School of Informatics), course: Information Systems, language: English, abstract: This study was conducted to analyze this process closer focusing on a case of Cardiology. Conducting a comprehensive literature review and qualitative expert interviews, the impact of big data in the field of Cardiology was explored. The result of the study shows that big data can play a positive role in three aspects:

• Author : Jason J. Jung,Pankoo Kim,Kwang Nam Choi
• Publisher : Springer
• Release : 08 November 2018

This book constitutes the refereed post-conference proceedings of the 8th International Conference on Big Data Technologies and Applications, BDTA 2017, held in Gwangju, South Korea, in November 2017. The 15 revised full papers were carefully reviewed and selected from 25 submissions and handle theoretical foundations and practical applications which premise the new generation of data analytics and engineering. The contributions deal with following topics: privacy and security, image processing, context awareness, s/w engineering and e-commerce, social media and health care.

• Author : Kumar, Manish
• Publisher : IGI Global
• Release : 30 September 2016

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural

• Author : Plamen Angelov,Jose Antonio Iglesias,Juan Carlos Corrales
• Publisher : Springer
• Release : 10 November 2017

This book presents novel communication technology solutions to address the effects of climate change and climate variability on agriculture, with a particular focus on those that increase agricultural production. It discusses decision support and early warning systems for agriculture; information technology (IT) supporting sustainable water management and land cover dynamics; predictive of crop production models; and software applications for reducing the effects of diseases and pests on crops. Further topics include the real-time monitoring of weather conditions and water quality,

• Author : Badrul H. Khan,Joseph Rene Corbeil,Maria Elena Corbeil
• Publisher : Routledge
• Release : 07 December 2018

Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging