Big Data Mining for Climate Change

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

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  • Author : Zhihua Zhang
  • Publisher : Anonim
  • Pages : 344 pages
  • ISBN : 0128187034
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBig Data Mining for Climate Change

Big Data Mining for Climate Change

Big Data Mining for Climate Change
  • Author : Zhihua Zhang
  • Publisher : Unknown Publisher
  • Release : 01 December 2019
GET THIS BOOKBig Data Mining for Climate Change

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, Data Mining, and Machine Learning

Big Data, Data Mining, and Machine Learning
  • Author : Jared Dean
  • Publisher : John Wiley & Sons
  • Release : 07 May 2014
GET THIS BOOKBig Data, Data Mining, and Machine Learning

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

Large-Scale Machine Learning in the Earth Sciences

Large-Scale Machine Learning in the Earth Sciences
  • Author : Ashok N. Srivastava,Ramakrishna Nemani,Karsten Steinhaeuser
  • Publisher : CRC Press
  • Release : 01 August 2017
GET THIS BOOKLarge-Scale Machine Learning in the Earth Sciences

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

Data Mining and Knowledge Discovery for Big Data

Data Mining and Knowledge Discovery for Big Data
  • Author : Wesley W. Chu
  • Publisher : Springer Science & Business Media
  • Release : 24 September 2013
GET THIS BOOKData Mining and Knowledge Discovery for Big Data

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

Data Mining and Learning Analytics

Data Mining and Learning Analytics
  • Author : Samira ElAtia,Donald Ipperciel,Osmar R. Zaïane
  • Publisher : John Wiley & Sons
  • Release : 26 September 2016
GET THIS BOOKData Mining and Learning Analytics

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of

Mathematical and Physical Fundamentals of Climate Change

Mathematical and Physical Fundamentals of Climate Change
  • Author : Zhihua Zhang,John C. Moore
  • Publisher : Elsevier
  • Release : 06 December 2014
GET THIS BOOKMathematical and Physical Fundamentals of Climate Change

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

Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences
  • Author : John J. McArdle,Gilbert Ritschard
  • Publisher : Routledge
  • Release : 15 August 2013
GET THIS BOOKContemporary Issues in Exploratory Data Mining in the Behavioral Sciences

This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM

Reality Mining

Reality Mining
  • Author : Nathan Eagle,Kate Greene
  • Publisher : MIT Press
  • Release : 08 August 2014
GET THIS BOOKReality Mining

A look at how Big Data can be put to positive use, from helping users break bad habits to tracking the global spread of disease. Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data—surveillance, spying, hacking—has made headlines, it shouldn't overshadow the abundant positive applications

Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops

Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops
  • Author : Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis
  • Publisher : Springer Nature
  • Release : 29 May 2020
GET THIS BOOKArtificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops

This book constitutes the refereed proceedings of two International Workshops held as parallel events of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, in Neos Marmaras, Greece, in June 2020: the 9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020.* The 6 full papers and 3 short papers presented at MHDW 2020 were carefully reviewed and selected from 16 submissions; out of the 23 papers submitted to 5G-PINE 2020, 11 were accepted as full

Data Mining in Large Sets of Complex Data

Data Mining in Large Sets of Complex Data
  • Author : Robson Leonardo Ferreira Cordeiro,Christos Faloutsos,Caetano Traina Júnior
  • Publisher : Springer Science & Business Media
  • Release : 11 January 2013
GET THIS BOOKData Mining in Large Sets of Complex Data

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

Social Media Data Mining and Analytics

Social Media Data Mining and Analytics
  • Author : Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
  • Publisher : John Wiley & Sons
  • Release : 19 September 2018
GET THIS BOOKSocial Media Data Mining and Analytics

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining

Extreme Hydrology and Climate Variability

Extreme Hydrology and Climate Variability
  • Author : Assefa M. Melesse,Wossenu Abtew,Gabriel Senay
  • Publisher : Elsevier
  • Release : 03 July 2019
GET THIS BOOKExtreme Hydrology and Climate Variability

Extreme Hydrology and Climate Variability: Monitoring, Modelling, Adaptation and Mitigation is a compilation of contributions by experts from around the world who discuss extreme hydrology topics, from monitoring, to modeling and management. With extreme climatic and hydrologic events becoming so frequent, this book is a critical source, adding knowledge to the science of extreme hydrology. Topics covered include hydrometeorology monitoring, climate variability and trends, hydrological variability and trends, landscape dynamics, droughts, flood processes, and extreme events management, adaptation and mitigation.