Big Data Shocks

Download Big Data Shocks full books in PDF, epub, and Kindle. Read online Big Data Shocks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Big Data Shocks

Author : Andrew Weiss
Publisher : Rowman & Littlefield
ISBN 13 : 1538103249
Total Pages : 219 pages
Book Rating : 4.5/5 (381 download)

DOWNLOAD NOW!

Book Synopsis Big Data Shocks by : Andrew Weiss

Download or read book Big Data Shocks written by Andrew Weiss and published by Rowman & Littlefield. This book was released on 2018-03-15 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Big data," as it has become known in business and information technology circles, has the potential to improve our knowledge about human behavior, and to help us gain insight into the ways in which we organize ourselves, our cultures, and our external and internal lives. Libraries stand at the center of the information world, both facilitating and contributing to this flood as well as helping to shape and channel it to specific purposes. But all technologies come with a price. Where the tool can serve a purpose, it can also change the user's behavior to fit the purposes of the tool. Big Data Shocks: An Introduction to Big Data for Librarians and Information Professionals examines the roots of big data, the current climate and rising stars in this world. The book explores the issues raised by big data and discusses theoretical as well as practical approaches to managing information whose scope exists beyond the human scale. What’s at stake ultimately is the privacy of the people who support and use our libraries and the temptation for us to examine their behaviors. Such tension lies deep in the heart of our great library institutions. This book addresses these issues and many of the questions that arise from them, including: What is our role as librarians within this new era of big data? What are the impacts of new powerful technologies that track and analyze our behavior? Do data aggregators know more about us and our patrons than we do? How can librarians ethically balance the need to demonstrate learning and knowledge creation and privacy? Do we become less private merely because we use a tool or is it because the tool has changed us? What's in store for us with the internet of things combining with data mining techniques? All of these questions and more are explored in this book

Big Data Shocks

Author : Andrew Weiss
Publisher :
ISBN 13 : 9781538103227
Total Pages : 195 pages
Book Rating : 4.1/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Big Data Shocks by : Andrew Weiss

Download or read book Big Data Shocks written by Andrew Weiss and published by . This book was released on 2018 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Shocks examines the roots of big data, the current climate and rising stars in this world. The book explores the issues raised by big data and discusses theoretical as well as practical approaches to managing information whose scope exists beyond the human scale.

Global Data Shock

Author : Robert Mandel
Publisher : Stanford University Press
ISBN 13 : 1503608972
Total Pages : 347 pages
Book Rating : 4.5/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Global Data Shock by : Robert Mandel

Download or read book Global Data Shock written by Robert Mandel and published by Stanford University Press. This book was released on 2019-04-09 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligence and security communities have access to an overwhelming amount of information. More data is better in an information-hungry world, but too much data paralyzes individual and institutional abilities to process and use information effectively. Robert Mandel calls this phenomenon "global data shock." He investigates how information overload affects strategic ambiguity, deception, and surprise, as well as the larger consequences for international security. This book provides not only an accessible framework for understanding global data shock and its consequences, but also a strategy to prepare for and respond to information overload. Global Data Shock explores how information overload facilitates deception, eroding international trust and cooperation in the post-Cold War era. A sweeping array of case studies illustrates the role of data shock in shaping global events from the 1990 Iraqi attack on Kuwait to Brexit. When strategists try to use an overabundance of data to their advantage, Mandel reveals, it often results in unanticipated and undesirable consequences. Too much information can lead to foreign intelligence failures, security policy incoherence, mass public frustrations, curtailment of democratic freedoms, and even international political anarchy. Global Data Shock addresses the pressing need for improved management of information and its strategic deployment.

Big Data Analytics for Human-Computer Interactions: A New Era of Computation

Author : Kuldeep Singh Kaswan
Publisher : Bentham Science Publishers
ISBN 13 : 9815079948
Total Pages : 392 pages
Book Rating : 4.8/5 (15 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics for Human-Computer Interactions: A New Era of Computation by : Kuldeep Singh Kaswan

Download or read book Big Data Analytics for Human-Computer Interactions: A New Era of Computation written by Kuldeep Singh Kaswan and published by Bentham Science Publishers. This book was released on 2023-08-28 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Working on HCI projects requires specific skill sets to implement IT solutions. Big Data Analytics for Human-Computer Interactions: A New Era of Computation is a comprehensive guide that discusses the evolution of Big Data in Human Computer Interaction from promise to reality. This book provides an introduction to Big Data and HCI, followed by an overview of the state-of-the-art algorithms for processing big data, Subsequent chapters also explain the characteristics, applications, opportunities and challenges of big data systems, by describing theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in designing HIC systems. The book also presents solutions for analyzing complex patterns in user data and improving productivity. Readers will be able to understand the technology that drives big data solutions in HCI projects and understand its capacity in transforming an organization. The book also helps the reader to understand HCI system design and explains how to evaluate an application portfolio that can be used when selecting pilot projects. This book is a resource for researchers, students, and professionals interested in the fields of HCI, artificial intelligence, data analytics, and computer engineering.

Big Data Analytics and Its Impact on Basin Water Agreements and International Water Law

Author : Imad Antoine Ibrahim
Publisher : BRILL
ISBN 13 : 9004507620
Total Pages : 181 pages
Book Rating : 4.0/5 (45 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics and Its Impact on Basin Water Agreements and International Water Law by : Imad Antoine Ibrahim

Download or read book Big Data Analytics and Its Impact on Basin Water Agreements and International Water Law written by Imad Antoine Ibrahim and published by BRILL. This book was released on 2022-01-17 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data analytics is transforming the water sector at the national and international levels. Its potential impact on transboundary water resource governance is being assessed, in the context of selected basins in this book.

Big Data Applications and Services 2017

Author : Wookey Lee
Publisher : Springer
ISBN 13 : 9811306958
Total Pages : 214 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Big Data Applications and Services 2017 by : Wookey Lee

Download or read book Big Data Applications and Services 2017 written by Wookey Lee and published by Springer. This book was released on 2018-08-16 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume contains selected papers from the Fourth International Conference on Big Data Applications and Services (BigDAS 2017), held in Tashkent, Uzbekistan on August 15-18, 2017. Big data has become a core technology providing innovative solutions in many fields including social media, healthcare and manufacturing. The Fourth International Conference on Big Data Applications and Services (BigDAS 2017) presented innovative results, encouraged academic and industrial interaction, and promoted collaborative research in the field of big data worldwide. The conference was organized by the Korea Big Data Services Society and National University of Uzbekistan.

IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

Author : Pradeep Kumar Singh
Publisher : Springer Nature
ISBN 13 : 3031357833
Total Pages : 386 pages
Book Rating : 4.0/5 (313 download)

DOWNLOAD NOW!

Book Synopsis IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges by : Pradeep Kumar Singh

Download or read book IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2023-08-23 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.

Applied Big Data Analytics and Its Role in COVID-19 Research

Author : Zhao, Peng
Publisher : IGI Global
ISBN 13 : 1799887952
Total Pages : 349 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Applied Big Data Analytics and Its Role in COVID-19 Research by : Zhao, Peng

Download or read book Applied Big Data Analytics and Its Role in COVID-19 Research written by Zhao, Peng and published by IGI Global. This book was released on 2022-04-29 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

Whither Turbulence and Big Data in the 21st Century?

Author : Andrew Pollard
Publisher : Springer
ISBN 13 : 3319412175
Total Pages : 574 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Whither Turbulence and Big Data in the 21st Century? by : Andrew Pollard

Download or read book Whither Turbulence and Big Data in the 21st Century? written by Andrew Pollard and published by Springer. This book was released on 2016-08-30 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a snapshot of the current and future trends in turbulence research across a range of disciplines. It provides an overview of the key challenges that face scientific and engineering communities in the context of huge databases of turbulence information currently being generated, yet poorly mined. These challenges include coherent structures and their control, wall turbulence and control, multi-scale turbulence, the impact of turbulence on energy generation and turbulence data manipulation strategies. The motivation for this volume is to assist the reader to make physical sense of these data deluges so as to inform both the research community as well as to advance practical outcomes from what is learned. Outcomes presented in this collection provide industry with information that impacts their activities, such as minimizing impact of wind farms, opportunities for understanding large scale wind events and large eddy simulation of the hydrodynamics of bays and lakes thereby increasing energy efficiencies, and minimizing emissions and noise from jet engines. Elucidates established, contemporary, and novel aspects of fluid turbulence - a ubiquitous yet poorly understood phenomena; Explores computer simulation of turbulence in the context of the emerging, unprecedented profusion of experimental data,which will need to be stewarded and archived; Examines a compendium of problems and issues that investigators can use to help formulate new promising research ideas; Makes the case for why funding agencies and scientists around the world need to lead a global effort to establish and steward large stores of turbulence data, rather than leaving them to individual researchers.

Seeing Cities Through Big Data

Author : Piyushimita (Vonu) Thakuriah
Publisher : Springer
ISBN 13 : 3319409026
Total Pages : 559 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Seeing Cities Through Big Data by : Piyushimita (Vonu) Thakuriah

Download or read book Seeing Cities Through Big Data written by Piyushimita (Vonu) Thakuriah and published by Springer. This book was released on 2016-10-07 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.

Digital Economy, Business Analytics, and Big Data Analytics Applications

Author : Saad G. Yaseen
Publisher : Springer Nature
ISBN 13 : 3031052587
Total Pages : 723 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Digital Economy, Business Analytics, and Big Data Analytics Applications by : Saad G. Yaseen

Download or read book Digital Economy, Business Analytics, and Big Data Analytics Applications written by Saad G. Yaseen and published by Springer Nature. This book was released on 2022-09-26 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

Healthcare Big Data Analytics

Author : Akash Kumar Bhoi
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110750945
Total Pages : 354 pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Healthcare Big Data Analytics by : Akash Kumar Bhoi

Download or read book Healthcare Big Data Analytics written by Akash Kumar Bhoi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-03-18 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

Big Data Analytics

Author : Kim H. Pries
Publisher : CRC Press
ISBN 13 : 1482234521
Total Pages : 576 pages
Book Rating : 4.4/5 (822 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics by : Kim H. Pries

Download or read book Big Data Analytics written by Kim H. Pries and published by CRC Press. This book was released on 2015-02-05 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the dif

Emerging Research in Electronics, Computer Science and Technology

Author : V. Sridhar
Publisher : Springer
ISBN 13 : 9811358028
Total Pages : 1482 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Emerging Research in Electronics, Computer Science and Technology by : V. Sridhar

Download or read book Emerging Research in Electronics, Computer Science and Technology written by V. Sridhar and published by Springer. This book was released on 2019-04-24 with total page 1482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) organized by PES College of Engineering in Mandya. Featuring cutting-edge, peer-reviewed articles from the field of electronics, computer science and technology, it is a valuable resource for members of the scientific research community.

Present Shock

Author : Douglas Rushkoff
Publisher : Penguin
ISBN 13 : 1617230103
Total Pages : 306 pages
Book Rating : 4.6/5 (172 download)

DOWNLOAD NOW!

Book Synopsis Present Shock by : Douglas Rushkoff

Download or read book Present Shock written by Douglas Rushkoff and published by Penguin. This book was released on 2014-02-25 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: People spent the twentieth century obsessed with the future. We created technologies that would help connect us faster, gather news, map the planet, and compile knowledge. We strove for an instantaneous network where time and space could be compressed. Well, the future's arrived. We live in a continuous now enabled by Twitter, email, and a so-called real-time technological shift. Yet this "now" is an elusive goal that we can never quite reach. And the dissonance between our digital selves and our analog bodies has thrown us into a new state of anxiety: present shock.

Big Data for Twenty-First-Century Economic Statistics

Author : Katharine G. Abraham
Publisher : University of Chicago Press
ISBN 13 : 022680125X
Total Pages : 502 pages
Book Rating : 4.2/5 (268 download)

DOWNLOAD NOW!

Book Synopsis Big Data for Twenty-First-Century Economic Statistics by : Katharine G. Abraham

Download or read book Big Data for Twenty-First-Century Economic Statistics written by Katharine G. Abraham and published by University of Chicago Press. This book was released on 2022-03-11 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Author : Pradeep N
Publisher : Academic Press
ISBN 13 : 0128220449
Total Pages : 374 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics by : Pradeep N

Download or read book Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics written by Pradeep N and published by Academic Press. This book was released on 2021-06-10 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation