Download What Can Data and Analytics Tell Us About COVID-19? Ebook PDF

Information and Communication Technologies in Tourism 2021

Information and Communication Technologies in Tourism 2021
Proceedings of the ENTER 2021 eTourism Conference, January 19–22, 2021

by Wolfgang Wörndl

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 303065785X
  • Language : En, Es, Fr & De
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Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches
A Book

by Aboul Ella Hassanien

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030633071
  • Language : En, Es, Fr & De
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Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
A Book

by Khalid Raza

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811585342
  • Language : En, Es, Fr & De
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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
A Book

by Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy

  • Publisher : Springer Nature
  • Release : 2020-11-13
  • Pages : 307
  • ISBN : 3030552586
  • Language : En, Es, Fr & De
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This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Data Analytics

Data Analytics
Handbook of Formulas and Techniques

by Adedeji B. Badiru

  • Publisher : CRC Press
  • Release : 2020-12-22
  • Pages : 246
  • ISBN : 1000297330
  • Language : En, Es, Fr & De
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Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers. This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.

Data Analytics for Coronavirus Disease (COVID-19) Outbreak

Data Analytics for Coronavirus Disease (COVID-19) Outbreak
A Book

by Gitanjali Rahul Shinde

  • Publisher : Unknown Publisher
  • Release : 2020-11
  • Pages : 329
  • ISBN : 9780367564957
  • Language : En, Es, Fr & De
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"Epidemic trend analysis, timeline progression, prediction and recommendation are critical for initiating effective public health control strategies and AI and data analytics play an important role in epidemiology, diagnostic and clinical fronts. The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies"--

Data Analytics for Pandemics

Data Analytics for Pandemics
A COVID-19 Case Study

by Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey

  • Publisher : CRC Press
  • Release : 2020-08-30
  • Pages : 68
  • ISBN : 1000204413
  • Language : En, Es, Fr & De
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Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.

Predictive Analytics Using Statistics and Big Data: Concepts and Modeling

Predictive Analytics Using Statistics and Big Data: Concepts and Modeling
A Book

by Krishna Kumar Mohbey,Arvind Pandey,Dharmendra Singh Rajput

  • Publisher : Bentham Science Publishers
  • Release : 2020-12-09
  • Pages : 124
  • ISBN : 9811490511
  • Language : En, Es, Fr & De
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This book presents a selection of the latest and representative developments in predictive analytics using big data technologies. It focuses on some critical aspects of big data and machine learning and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics. Topics included in this book include: - Categorized machine learning algorithms - Player monopoly in cricket teams. - Chain type estimators - Log type estimators - Bivariate survival data using shared inverse Gaussian frailty models - Weblog analysis - COVID-19 epidemiology This reference book will be of significant benefit to the predictive analytics community as a useful guide of the latest research in this emerging field.

Emerging Technologies for Battling Covid-19

Emerging Technologies for Battling Covid-19
Applications and Innovations

by Fadi Al-Turjman,Ajantha Devi,Anand Nayyar

  • Publisher : Springer Nature
  • Release : 2021-03-19
  • Pages : 359
  • ISBN : 3030600394
  • Language : En, Es, Fr & De
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The book presents recent trends and solutions to help healthcare sectors and medical staff protect themselves and others and limit the spread of the COVID-19. The book also presents the problems and challenges researchers and academics face in tackling this monumental task. Topics include: Unmanned Aerial Vehicle (UAV) or drones that can be used to detect infected people in different areas; robots used in fighting the COVID-19 by protecting workers and staff dealing with infected people; blockchain technology that secures sensitive transactions in strict confidentiality. With contributions from experts from around the world, this book aims to help those creating and honing technology to help with this global threat.

Intelligent Systems and Methods to Combat Covid-19

Intelligent Systems and Methods to Combat Covid-19
A Book

by Amit Joshi

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811565724
  • Language : En, Es, Fr & De
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Predictive and Preventive Measures for Covid-19 Pandemic

Predictive and Preventive Measures for Covid-19 Pandemic
A Book

by Praveen Kumar Khosla,Mamta Mittal,Dolly Sharma,Lalit Mohan Goyal

  • Publisher : Springer Nature
  • Release : 2021-01-22
  • Pages : 326
  • ISBN : 9813342366
  • Language : En, Es, Fr & De
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This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.

Economic Impact of COVID-19

Economic Impact of COVID-19
Data & Analytics Summary

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2020
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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"This analysis estimates the impact on Māori unemployment and average wages at the rohe and national level, specifically measuring the impact on overall unemployment projections for the Māori population relative to unemployment prior to COVID-19 (i.e. additional unemployed workers as a result of COVID-19) [and the] impact on the average real wages of unemployed Māori who regain employment"--Page 2.

COVID-19: Prediction, Decision-Making, and its Impacts

COVID-19: Prediction, Decision-Making, and its Impacts
A Book

by K.C. Santosh,Amit Joshi

  • Publisher : Springer Nature
  • Release : 2020-12-11
  • Pages : 137
  • ISBN : 9811596824
  • Language : En, Es, Fr & De
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This book outlines artificial intelligence for COVID-19 issues that are ranging from prediction to decision-making for healthcare support in human lives. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for multiple problems, such as early prediction, its role for public health, detection of positive cases, drug analysis, and healthcare support. It mainly employs publicly available data (population) to predict who should be tested for COVID-19, for example, radiological image data to detect COVID-19 positive cases from other similar and/or different manifestations, such as pneumonia, distributed healthcare support, and supply chains in the middle of COVID-19 pandemic. The book includes recently developed AI-driven tools and techniques, such as pattern recognition, anomaly detection, machine learning, and data analytics. It covers a wide range of audience from computer science and engineering to healthcare professionals.

Software Foundations for Data Interoperability and Large Scale Graph Data Analytics

Software Foundations for Data Interoperability and Large Scale Graph Data Analytics
4th International Workshop, SFDI 2020, and 2nd International Workshop, LSGDA 2020, held in Conjunction with VLDB 2020, Tokyo, Japan, September 4, 2020, Proceedings

by Lu Qin

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030611337
  • Language : En, Es, Fr & De
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Cybersecurity in the COVID-19 Pandemic

Cybersecurity in the COVID-19 Pandemic
A Book

by Kenneth Okereafor

  • Publisher : CRC Press
  • Release : 2021-03-17
  • Pages : 168
  • ISBN : 1000357570
  • Language : En, Es, Fr & De
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As the 2020 global lockdown became a universal strategy to control the COVID-19 pandemic, social distancing triggered a massive reliance on online and cyberspace alternatives and switched the world to the digital economy. Despite their effectiveness for remote work and online interactions, cyberspace alternatives ignited several Cybersecurity challenges. Malicious hackers capitalized on global anxiety and launched cyberattacks against unsuspecting victims. Internet fraudsters exploited human and system vulnerabilities and impacted data integrity, privacy, and digital behaviour. Cybersecurity in the COVID-19 Pandemic demystifies Cybersecurity concepts using real-world cybercrime incidents from the pandemic to illustrate how threat actors perpetrated computer fraud against valuable information assets particularly healthcare, financial, commercial, travel, academic, and social networking data. The book simplifies the socio-technical aspects of Cybersecurity and draws valuable lessons from the impacts COVID-19 cyberattacks exerted on computer networks, online portals, and databases. The book also predicts the fusion of Cybersecurity into Artificial Intelligence and Big Data Analytics, the two emerging domains that will potentially dominate and redefine post-pandemic Cybersecurity research and innovations between 2021 and 2025. The book’s primary audience is individual and corporate cyberspace consumers across all professions intending to update their Cybersecurity knowledge for detecting, preventing, responding to, and recovering from computer crimes. Cybersecurity in the COVID-19 Pandemic is ideal for information officers, data managers, business and risk administrators, technology scholars, Cybersecurity experts and researchers, and information technology practitioners. Readers will draw lessons for protecting their digital assets from email phishing fraud, social engineering scams, malware campaigns, and website hijacks.

Winning with Data in the Business of Sports

Winning with Data in the Business of Sports
CRM and Analytics

by Fiona Green

  • Publisher : Routledge
  • Release : 2021-03-18
  • Pages : 228
  • ISBN : 1000340198
  • Language : En, Es, Fr & De
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New technologies mean that sports clubs and governing bodies are generating more data than ever to help manage their relationship with fans, their performance, and their income streams. This new edition of Winning with Data in the Business of Sports explains how to acquire, store, maintain, and use data in the most effective ways. The key developments are three-fold: new technology, new understanding of how to apply that technology, and the new laws informing and controlling the data that can be generated from the technology. Important developments that have occurred since the publication of the first edition include the General Data Protection Regulations (GDPR) and the COVID-19 pandemic. With a focus on these unique challenges coupled with the opportunities the use of data creates, this book is essential reading for professionals within the sports industry. This second edition includes: - An introduction to new technologies, the data they generate, and the supporting processes we need to have in place to use them. - Brand new case studies with recent examples of creative applications from clubs, teams, leagues, and governing bodies, including Arsenal, AS Roma, ICC Cricket World Cup, LA Kings, Portland Trail Blazers, and UEFA. - The sports industry’s response to tighter data legislation introduced primarily though the GDPR. - The role of data and direct engagement during the COVID-19 pandemic. The book provides clear guidance and knowledge that sports industry professionals need to understand the role of data for the business side of sports. It is essential reading for sports clubs, governing bodies and those working in sports marketing, media and communications, sponsorship, merchandise, ticketing, events, and participation development. The book will also be of interest to students of sports management.

Data Analytics and Management

Data Analytics and Management
Proceedings of ICDAM

by Ashish Khanna

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811583358
  • Language : En, Es, Fr & De
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Coronavirus News, Markets and AI

Coronavirus News, Markets and AI
The COVID-19 Diaries

by Pankaj Sharma

  • Publisher : Taylor & Francis
  • Release : 2020-12-24
  • Pages : 214
  • ISBN : 1000327442
  • Language : En, Es, Fr & De
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Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information, both real and fake, travels in the blink of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across ‘short term’ and ‘long term’; Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump’s policies; Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities.

Big Data Analytics and Intelligence

Big Data Analytics and Intelligence
A Perspective for Health Care

by Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal

  • Publisher : Emerald Group Publishing
  • Release : 2020-09-30
  • Pages : 392
  • ISBN : 1839090995
  • Language : En, Es, Fr & De
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Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.

Internet of Medical Things for Smart Healthcare

Internet of Medical Things for Smart Healthcare
Covid-19 Pandemic

by Chinmay Chakraborty,Amit Banerjee,Lalit Garg,Joel J. P. C. Rodrigues

  • Publisher : Springer Nature
  • Release : 2020-12-11
  • Pages : 305
  • ISBN : 9811580979
  • Language : En, Es, Fr & De
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This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.