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20 books match the query 'Big data'

cover of Authentication Technologies for Cloud Computing, IoT and Big Data

Authentication Technologies for Cloud Computing, IoT and Big Data

Yasser M. Alginahi

The Institution of Engineering and Technology, 2019

Critical systems and infrastructure rely heavily on ICT systems and networks where security issues are a major concern. Authentication methods verify that messages come from trusted sources and guarantee the smooth flow of information and data. In this edited reference, the authors present state-of-art research and development in authentication technologies including challenges and applications for Cloud Technologies, IoT and Big Data. Topics covered include authentication; cryptographic algorithms; digital watermarking; biometric authentication; block ciphers with applications in IoT; identification schemes for Cloud and IoT; authentication issues for Cloud applications; cryptography engines for Cloud based on FPGA; and data protection laws.
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cover of Beautiful Data: A History of Vision and Reason since 1945

Beautiful Data

A History of Vision and Reason since 1945

Orit Halpern

Duke University Press, 2015

Beautiful Data is both a history of big data and interactivity, and a sophisticated meditation on ideas about vision and cognition in the second half of the twentieth century. Contending that our forms of attention, observation, and truth are contingent and contested, Orit Halpern historicizes the ways that we are trained, and train ourselves, to observe and analyze the world. Tracing the postwar impact of cybernetics and the communication sciences on the social and human sciences, design, arts, and urban planning, she finds a radical shift in attitudes toward recording and displaying information. These changed attitudes produced what she calls communicative objectivity: new forms of observation, rationality, and economy based on the management and analysis of data. Halpern complicates assumptions about the value of data and visualization, arguing that changes in how we manage and train perception, and define reason and intelligence, are also transformations in governmentality. She also challenges the paradoxical belief that we are experiencing a crisis of attention caused by digital media, a crisis that can be resolved only through intensified media consumption.
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cover of Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security and Trust, Volume 1

Big Data Recommender Systems

Algorithms, Architectures, Big Data, Security and Trust, Volume 1

Osman Khalid

The Institution of Engineering and Technology, 2019

First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges.
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cover of Big Data Recommender Systems: Application Paradigms, Volume 2

Big Data Recommender Systems

Application Paradigms, Volume 2

Osman Khalid

The Institution of Engineering and Technology, 2019

First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges.
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cover of Big Data and Software Defined Networks

Big Data and Software Defined Networks

Javid Taheri

The Institution of Engineering and Technology, 2018

Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data and usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). SDN helps CDCs run their services more efficiently by enabling managers to configure, manage, secure, and optimize the network resources very quickly. Big-Data Analytics in turn has entered CDCs to harvest the massive computing powers and deduct information that was never reachable by conventional methods.
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cover of Big Data for Twenty-First-Century Economic Statistics

Big Data for Twenty-First-Century Economic Statistics

Edited by Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro

University of Chicago Press, 2022

The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. 

The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data—such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers—has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.
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cover of Big Digital Humanities: Imagining a Meeting Place for the Humanities and the Digital

Big Digital Humanities

Imagining a Meeting Place for the Humanities and the Digital

Patrik Svensson

University of Michigan Press, 2016

Big Digital Humanities has its origins in a series of seminal articles Patrik Svensson published in the Digital Humanities Quarterly between 2009 and 2012. As these articles were coming out, enthusiasm around Digital Humanities was acquiring a great deal of momentum and significant disagreement about what did or didn’t “count” as Digital Humanities work. Svensson’s articles provided a widely sought after omnibus of Digital Humanities history, practice, and theory. They were informative and knowledgeable and tended to foreground reportage and explanation rather than utopianism or territorial contentiousness. In revising his original work for book publication, Svensson has responded to both subsequent feedback and new developments.
 
Svensson’s own unique perspective and special stake in the Digital Humanities conversation comes from his role as director of the HUMlab at Umeå University. HUMlab is a unique collaborative space and Digital Humanities center, which officially opened its doors in 2000. According to its own official description, the HUMlab is an open, creative studio environment where “students, researchers, artists, entrepreneurs and international guests come together to engage in dialogue, experiment with technology, take on challenges and move scholarship forward.” It is this last element “moving scholarship forward” that Svensson argues is the real opportunity in what he terms the “big digital humanities,” or digital humanities as practiced in collaborative spaces like the HUMlab, and he is uniquely positioned to take an account of this evolving dimension of Digital Humanities practice.
 

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cover of Collecting Experiments: Making Big Data Biology

Collecting Experiments

Making Big Data Biology

Bruno J. Strasser

University of Chicago Press, 2019

Databases have revolutionized nearly every aspect of our lives. Information of all sorts is being collected on a massive scale, from Google to Facebook and well beyond. But as the amount of information in databases explodes, we are forced to reassess our ideas about what knowledge is, how it is produced, to whom it belongs, and who can be credited for producing it.
 
Every scientist working today draws on databases to produce scientific knowledge. Databases have become more common than microscopes, voltmeters, and test tubes, and the increasing amount of data has led to major changes in research practices and profound reflections on the proper professional roles of data producers, collectors, curators, and analysts.
 
Collecting Experiments traces the development and use of data collections, especially in the experimental life sciences, from the early twentieth century to the present. It shows that the current revolution is best understood as the coming together of two older ways of knowing—collecting and experimenting, the museum and the laboratory. Ultimately, Bruno J. Strasser argues that by serving as knowledge repositories, as well as indispensable tools for producing new knowledge, these databases function as digital museums for the twenty-first century.
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cover of Data Equals: Democratic Equality and Technological Hierarchy

Data Equals

Democratic Equality and Technological Hierarchy

Colin Koopman

University of Chicago Press, 2025

An expansive vision for data equality that goes beyond algorithmic fairness.

When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality.

It is not enough, Koopman explains, that algorithms engage everyone’s data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age.
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cover of Data Power: Radical Geographies of Control and Resistance

Data Power

Radical Geographies of Control and Resistance

Jim E. Thatcher

Pluto Press, 2021

In recent years, popular media has inundated audiences with sensationalized headlines recounting data breaches, new forms of surveillance and other dangers of our digital age. Despite their regularity, such accounts treat each case as unprecedented and unique. This book proposes a radical rethinking of the history, present and future of our relations with the digital, spatial technologies that increasingly mediate our everyday lives.

From smartphones to surveillance cameras, to navigational satellites, these new technologies offer visions of integrated, smooth and efficient societies, even as they directly conflict with the ways users experience them. Recognizing the potential for both control and liberation, the authors argue against both acquiescence to and rejection of these technologies.

Through intentional use of the very systems that monitor them, activists from Charlottesville to Hong Kong are subverting, resisting and repurposing geographic technologies. Using examples as varied as writings on the first telephones to the experiences of a feminist collective for migrant women in Spain, the authors present a revolution of everyday technologies. In the face of the seemingly inevitable circumstances, these technologies allow us to create new spaces of affinity, and a new politics of change.

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cover of Data: Now Bigger and Better!

Data

Now Bigger and Better!

Edited by Tom Boellstorff and Bill Maurer

Prickly Paradigm Press, 2015

Data is too big to be left to the data analysts. Data: Now Bigger and Better! brings together researchers whose work is deeply informed by the conceptual frameworks of anthropology—frameworks that are comparative as well as field-based. From kinship to gifts, everything old becomes rich with new insight when the anthropological archive washes over “big data.” Bringing together anthropology’s classic debates and contemporary interventions, the book counters the future-oriented speculation so characteristic of discussions regarding big data. Drawing on the long-standing experience in industry contexts, the contributors also provide analytical provocations that can help reframe some of the most important shifts in technology and society in the first half of the twenty-first century.
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cover of Digital Objects, Digital Subjects: Interdisciplinary Perspectives on Capitalism, Labour and Politics in the Age of Big Data

Digital Objects, Digital Subjects

Interdisciplinary Perspectives on Capitalism, Labour and Politics in the Age of Big Data

David Chandler and Christian Fuchs

University of Westminster Press, 2019

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cover of Distant Readings of Disciplinarity: Knowing and Doing in Composition/Rhetoric Dissertations

Distant Readings of Disciplinarity

Knowing and Doing in Composition/Rhetoric Dissertations

by Benjamin Miller

Utah State University Press, 2022

In Distant Readings of Disciplinarity, Benjamin Miller brings a big data approach to the study of disciplinarity in rhetoric, composition, and writing studies (RCWS) by developing scalable maps of the methods and topics of several thousand RCWS dissertations from 2001 to 2015. Combining charts and figures with engaging and even playful prose, Miller offers an accessible model of how large-scale data-driven research can advance disciplinary understanding—both answering and amplifying the call to add replicable data analysis and visualization to the mix of methods regularly employed in the field.

Writing studies has long been marked by a multitude of methods and interlocking purposes, partaking of not just humanities approaches but also social scientific ones, with data drawn from interviews and surveys alongside historical and philosophical arguments and with corpus analytics in large-scale collections jostling against small-scale case studies of individuals. These areas of study aren’t always cleanly separable; shifting modes mark the discipline as open and welcoming to many different angles of research. The field needs to embrace that vantage point and generate new degrees of familiarity with methods beyond those of any individual scholar.
 
Not only a training genre and not only a knowledge-making genre, the dissertation is also a discipline-producing genre. Illustrating what the field has been studying, and how, Distant Readings of Disciplinarity supports more fruitful collaborations within and across research areas and methods.
 
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cover of Geography's Quantitative Revolutions: Edward A. Ackerman and the Cold War Origins of Big Data

Geography's Quantitative Revolutions

Edward A. Ackerman and the Cold War Origins of Big Data

Elvin Wyly

West Virginia University Press, 2019

Do you have a smartphone? Billions of people on the planet now navigate their daily lives with the kind of advanced Global Positioning System capabilities once reserved for the most secretive elements of America’s military-industrial complex. But when so many people have access to the most powerful technologies humanity has ever devised for the precise determination of geographical coordinates, do we still need a specialized field of knowledge called geography?

Just as big data and artificial intelligence promise to automate occupations ranging from customer service and truck driving to stock trading and financial analysis, our age of algorithmic efficiency seems to eliminate the need for humans who call themselves geographers—at the precise moment when engaging with information about the peoples, places, and environments of a diverse world is more popular than ever before. How did we get here? This book traces the recent history of geography, information, and technology through the biography of Edward A. Ackerman, an important but forgotten figure in geography’s “quantitative revolution.” It argues that Ackerman’s work helped encode the hidden logics of a distorted philosophical heritage—a dangerous, cybernetic form of thought known as militant neo-Kantianism—into the network architectures of today’s pervasive worlds of surveillance capitalism.

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cover of IoT Technologies in Smart-Cities: From sensors to big data, security and trust

IoT Technologies in Smart-Cities

From sensors to big data, security and trust

Fadi Al-Turjman

The Institution of Engineering and Technology, 2020

Smart City and sensing platforms are considered some of the most significant topics in the Internet of Things (IoT). Sensors are at the heart of the IoT, and their development is a key issue if such concepts are to achieve their full potential.
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cover of Mapping Crisis: Participation, Datafication and Humanitarianism in the Age of Digital Mapping

Mapping Crisis

Participation, Datafication and Humanitarianism in the Age of Digital Mapping

Edited by Doug Specht

University of London Press, 2020

The digital age throws questions of representation, participation, and humanitarianism back to the fore, as machine learning, algorithms, and big data centers take over the process of mapping the subjugated and subaltern. Mapping Crisis questions whether it is the map itself that is in crisis. This book brings together critical perspectives on the role that mapping people, knowledges, and data now plays in humanitarian work, both in cartographic terms and through data visualizations. Since the rise of Google Earth in 2005, there has been an explosion in the use of mapping tools to quantify and assess the needs of the poor, including those affected by climate change and the wider neo-liberal agenda. Yet, while there has been a huge upsurge in the data produced around these issues, the representation of people remains questionable. Some have argued that representation has diminished as people are increasingly reduced to data points. In turn, this data has become ever more difficult to analyze without vast computing power, leading to a dependency on the old colonial powers to refine the data of the poor, before selling it back to them.
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cover of Monitored: Business and Surveillance in a Time of Big Data

Monitored

Business and Surveillance in a Time of Big Data

Peter Bloom

Pluto Press, 2019

Our contemporary age is confronted by a profound contradiction: on the one hand, our lives as workers, consumers and citizens have become ever more monitored by new technologies. On the other, big business and finance become increasingly less regulated and controllable.

What does this technocratic ideology and surveillance-heavy culture reveal about the deeper reality of modern society? Monitored investigates the history and implications of this modern accountability paradox. Peter Bloom reveals pervasive monitoring practices which mask how at its heart, the elite remains socially and ethically out of control.

Challenging their exploitive 'accounting power', Bloom demands that the systems that administer our lives are oriented to social liberation and new ways of being in the world.
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cover of Numbers and Nerves: Information, Emotion, and Meaning in a World of Data

Numbers and Nerves

Information, Emotion, and Meaning in a World of Data

Scott Slovic

Oregon State University Press, 2015

We live in the age of Big Data, awash in a sea of ever-expanding information—a constant deluge of facts, statistics, models, and projections. The human mind is quickly desensitized by information presented in the form of numbers, and yet many important social and environmental phenomena, ranging from genocide to global climate change, require quantitative description.

The essays and interviews in Numbers and Nerves explore the quandary of our cognitive responses to quantitative information, while also offering compelling strategies for overcoming insensitivity to the meaning of such information. With contributions by journalists, literary critics, psychologists, naturalists, activists, and others, this book represents a unique convergence of psychological research, discourse analysis, and visual and narrative communication.

At a time of unprecedented access to information, our society is frequently stymied in its efforts to react to the world’s massive problems. Many of these problems are systemic, deeply rooted in seemingly intransigent cultural patterns and lifestyles. In order to sense the significance of these issues and begin to confront them, we must first understand the psychological tendencies that enable and restrict our processing of numerical information.

Numbers and Nerves explores a wide range of psychological phenomena and communication strategies—fast and slow thinking, psychic numbing, pseudoinefficacy, the prominence effect, the asymmetry of trust, contextualized anecdotes, multifaceted mosaics of prose, and experimental digital compositions, among others—and places these in real-world contexts. In the past two decades, cognitive science has increasingly come to understand that we, as a species, think best when we allow numbers and nerves, abstract information and experiential discourse, to work together. This book provides a roadmap to guide that collaboration. It will be invaluable to scholars, educators, professional communicators, and anyone who struggles to grasp the meaning behind the numbers.
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cover of The Poetics of Scale: From Apollinaire to Big Data

The Poetics of Scale

From Apollinaire to Big Data

Conrad Steel

University of Iowa Press, 2024

Since the start of the twentieth century, poets have been irresistibly drawn to the image of the poem as a kind of data-handling, a way of mediating between the divergent scales of aesthetics and infrastructure, language and technology. Conrad Steel shows how the history of poetry—with its particular formal affordances, and the particular hopes and fears we invest it with—has always been bound up with our changing logistics of macroscale representation. 

The Poetics of Scale takes us back to the years before the First World War in Paris, where the poet Guillaume Apollinaire claimed to have invented a new mode of poetry large enough to take on the challenges of the coming twentieth century. This history follows Apollinaire’s ideas across the Atlantic and examines how and why his work became such a vital source of inspiration for American poets through the era of intensive American economic expansion and up to the present day. Threading together Apollinaire’s work in the 1910s with three of his American successors—Louis Zukofsky in the 1930s, Allen Ginsberg in the 1950s, and Alice Notley from the 1970s onward—it shows how poetry as a cultural technique became the crucial test case for the scale of our collective imagination.
 
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