Exploring the Boundaries of Big Data

Exploring the Boundaries of Big Data Author Bart van der Sloot
ISBN-10 9048534038
Release 2016
Pages
Download Link Click Here

Exploring the Boundaries of Big Data has been writing in one form or another for most of life. You can find so many inspiration from Exploring the Boundaries of Big Data also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Exploring the Boundaries of Big Data book for free.



Big Data Surveillance and Crisis Management

Big Data  Surveillance and Crisis Management Author Kees Boersma
ISBN-10 9781317270980
Release 2017-08-14
Pages 232
Download Link Click Here

Big data, surveillance, crisis management. Three largely different and richly researched fields, however, the interplay amongst these three domains is rarely addressed. In this enlightening title, the link between these three fields is explored in a consequential order through a variety of contributions and series of unique and international case studies. Indeed, whilst considering crisis management as an "umbrella term" that covers a number of crises and ways of managing them, the reader will also explore the collection of "big data" by governmental crisis organisations. However, this volume also addresses the unintended consequences of using such data. In particular, through the lens of surveillance, one will also investigate how the use and abuse of big data can easily lead to monitoring and controlling the behaviour of people affected by crises. Thus, the reader will ultimately join the authors in their debate of how big data in crisis management needs to be examined as a political process involving questions of power and transparency. An enlightening and highly topical volume, Big Data, Surveillance and Crisis Management will appeal to postgraduate students and postdoctoral researchers interested in fields including Sociology and Surveillance Studies, Disaster and Crisis Management, Media Studies, Governmentality, Organisation Theory and Information Society Studies.



Datenschutzaufsicht nach der EU Datenschutz Grundverordnung

Datenschutzaufsicht nach der EU Datenschutz Grundverordnung Author Alexander Roßnagel
ISBN-10 9783658185060
Release 2017
Pages 204
Download Link Click Here

Datenschutzaufsicht nach der EU Datenschutz Grundverordnung has been writing in one form or another for most of life. You can find so many inspiration from Datenschutzaufsicht nach der EU Datenschutz Grundverordnung also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Datenschutzaufsicht nach der EU Datenschutz Grundverordnung book for free.



Privacy and Identity Management Facing up to Next Steps

Privacy and Identity Management  Facing up to Next Steps Author Anja Lehmann
ISBN-10 9783319557830
Release 2017-03-30
Pages 279
Download Link Click Here

This book contains a range of invited and submitted papers presented at the 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, held in Karlstad, Sweden, in August 2016. The 17 revised full papers and one short paper included in this volume were carefully selected from a total of 42 submissions and were subject to a two-step review process. The papers combine interdisciplinary approaches to bring together a host of perspectives: technical, legal, regulatory, socio-economic, social, societal, political, ethical, anthropological, philosophical, and psychological.



Exploring the Convergence of Big Data and the Internet of Things

Exploring the Convergence of Big Data and the Internet of Things Author Prasad, A.V. Krishna
ISBN-10 9781522529484
Release 2017-08-11
Pages 332
Download Link Click Here

The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business functions and make them easier to perform. Exploring the Convergence of Big Data and the Internet of Things is a pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.



Big Data Support of Urban Planning and Management

Big Data Support of Urban Planning and Management Author Zhenjiang Shen
ISBN-10 9783319519296
Release 2017-09-26
Pages 456
Download Link Click Here

In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.



Exploring Complexity in Health An Interdisciplinary Systems Approach

Exploring Complexity in Health  An Interdisciplinary Systems Approach Author A. Hoerbst
ISBN-10 9781614996781
Release 2016-09-22
Pages 852
Download Link Click Here

The field of health is an increasingly complex and technical one; and an area in which a more multidisciplinary approach would undoubtedly be beneficial in many ways. This book presents papers from the conference ‘Health – Exploring Complexity: An Interdisciplinary Systems Approach’, held in Munich, Germany, from August 28th to September 2nd 2016. This joint conference unites the conferences of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), the German Society for Epidemiology (DGEpi), the International Epidemiological Association - European Region, and the European Federation for Medical Informatics (EFMI). These societies already have long-standing experience of integrating the disciplines of medical informatics, biometry, epidemiology and health data management. The book contains over 160 papers, and is divided into 14 sections covering subject areas such as: health and clinical information systems; eHealth and telemedicine; big data and advanced analytics; and evidence-based health informatics, evaluation and education, among many others. The book will be of value to all those working in the field of health and interested in finding new ways to enable the collaboration of different scientific disciplines and the establishment of comprehensive methodological approaches.



Big Data

Big Data Author Kuan-Ching Li
ISBN-10 9781482240566
Release 2015-02-23
Pages 498
Download Link Click Here

As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management—considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy—focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications—illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, and SaaS.



Big Data at Work

Big Data at Work Author Thomas Davenport
ISBN-10 9781422168165
Release 2014-02-25
Pages 240
Download Link Click Here

Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.



Big Data

Big Data Author Fei Hu
ISBN-10 9781498734875
Release 2016-04-27
Pages 463
Download Link Click Here

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details—making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S designs—storage, sharing, and security—through detailed descriptions of Big Data concepts and implementations. Written by well-recognized Big Data experts around the world, the book contains more than 450 pages of technical details on the most important implementation aspects regarding Big Data. After reading this book, you will understand how to: Aggregate heterogeneous types of data from numerous sources, and then use efficient database management technology to store the Big Data Use cloud computing to share the Big Data among large groups of people Protect the privacy of Big Data during network sharing With the goal of facilitating the scientific research and engineering design of Big Data systems, the book consists of two parts. Part I, Big Data Management, addresses the important topics of spatial management, data transfer, and data processing. Part II, Security and Privacy Issues, provides technical details on security, privacy, and accountability. Examining the state of the art of Big Data over clouds, the book presents a novel architecture for achieving reliability, availability, and security for services running on the clouds. It supplies technical descriptions of Big Data models, algorithms, and implementations, and considers the emerging developments in Big Data applications. Each chapter includes references for further study.



Ethics of Big Data

Ethics of Big Data Author Kord Davis
ISBN-10 9781449311797
Release 2012
Pages 64
Download Link Click Here

This book contains a framework for productive discussion and thinking about ethics and Big Data in business environments. With the increasing size and scope of information that Big Data technologies can provide business, maintaining an ethical practice benefits from a common framework of understanding and vocabulary for discussing questions about coherent and consistent practices. A framework provides you with a set of conceptual terms and tools that help decision-markers to engage difficult questions the expanding role Big Data plays in an increasing variety of products and services. The approach is to develop a set of terms and concepts, consider ethical principles useful in meaningful business discussions, and then explore and compare several overall views on data handling to help inform the development of an ethics-based data strategy. The focus is to enhance effective decision-making in business rather than legislate what ought to be done with data. In this book, you will learn methods and techniques to facilitate rigorous, productive internal discussion, and express coherent and consistent positions on your organization's perspective on the use of Big Data in commerce.



Big Data Strategies for Agile Business

Big Data Strategies for Agile Business Author Bhuvan Unhelkar
ISBN-10 9781351646543
Release 2017-09-13
Pages 503
Download Link Click Here

Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.



Big Data Management Technologies and Applications

Big Data Management  Technologies  and Applications Author Hu, Wen-Chen
ISBN-10 9781466647008
Release 2013-10-31
Pages 342
Download Link Click Here

"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.



Big Data Concepts Methodologies Tools and Applications

Big Data  Concepts  Methodologies  Tools  and Applications Author Management Association, Information Resources
ISBN-10 9781466698413
Release 2016-04-20
Pages 2478
Download Link Click Here

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.



International Encyclopedia of Digital Communication and Society 3 Volume Set

International Encyclopedia of Digital Communication and Society  3 Volume Set Author Dixons Chair in New Media and the Internet Interdepartmental Programme in Media and Communications Robin Mansell
ISBN-10 9781118290743
Release 2015-02-17
Pages 1296
Download Link Click Here

"The International Encyclopedia of Digital Communication and Society" offers critical assessments of theoretical and applied research on digitally-mediated communication, a central area of study in the 21st century. - Examines topics with unprecedented breadth and depth, with the aim of bringing together international and interdisciplinary perspectives - Organized in an accessible A-Z format with over 150 entries on key topics ranging from 2,000 to 10,000 words - Addresses a full range of topics including digitally-mediated social media, commercial applications and online gaming, to law and policy analysis and information and communication technologies for development - Published with a regularly updated online edition which will ensure readers are kept abreast of the latest developments in research- Part of "The Wiley Blackwell-ICA International Encyclopedias of Communication" series, published in conjunction with the "International Communication Association"



Supply Chain Management in the Big Data Era

Supply Chain Management in the Big Data Era Author Chan, Hing Kai
ISBN-10 9781522509578
Release 2016-11-04
Pages 299
Download Link Click Here

Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations.



Big Data Little Data No Data

Big Data  Little Data  No Data Author Christine L. Borgman
ISBN-10 9780262028561
Release 2015-01-02
Pages 416
Download Link Click Here

"Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.