Big Data, Christian K?nig; Jette Schr?der; Erich Wiegand
Автор: Greg Elmer, Ganaele Langlois, Joanna Redden Название: Compromised Data: From Social Media to Big Data ISBN: 1501306510 ISBN-13(EAN): 9781501306518 Издательство: Bloomsbury Academic Рейтинг: Цена: 4592.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
There has been a data rush in the past decade brought about by online communication and, in particular, social media (Facebook, Twitter, Youtube, among others), which promises a new age of digital enlightenment. But social data is compromised: it is being seized by specific economic interests, it leads to a fundamental shift in the relationship between research and the public good, and it fosters new forms of control and surveillance.
Compromised Data: From Social Media to Big Data explores how we perform critical research within a compromised social data framework. The expert, international lineup of contributors explores the limits and challenges of social data research in order to invent and develop new modes of doing public research. At its core, this collection argues that we are witnessing a fundamental reshaping of the social through social data mining.
Автор: Greg Elmer, Ganaele Langlois, Joanna Redden Название: Compromised Data: From Social Media to Big Data ISBN: 1501306502 ISBN-13(EAN): 9781501306501 Издательство: Bloomsbury Academic Рейтинг: Цена: 22176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
There has been a data rush in the past decade brought about by online communication and, in particular, social media (Facebook, Twitter, Youtube, among others), which promises a new age of digital enlightenment. But social data is compromised: it is being seized by specific economic interests, it leads to a fundamental shift in the relationship between research and the public good, and it fosters new forms of control and surveillance.
Compromised Data: From Social Media to Big Data explores how we perform critical research within a compromised social data framework. The expert, international lineup of contributors explores the limits and challenges of social data research in order to invent and develop new modes of doing public research. At its core, this collection argues that we are witnessing a fundamental reshaping of the social through social data mining.
Описание: Critical Theory and Qualitative Data Analysis offers a path-breaking explanation of how critical theories can be used within the analysis of qualitative data to inform research process, such as data collection, analysis, and interpretation.
Автор: Hand Martin Название: Big Data? Qualitative Approaches to Digital Research ISBN: 1784410519 ISBN-13(EAN): 9781784410513 Издательство: Emerald Рейтинг: Цена: 21749.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines and engages with the ambivalence of digitization, illuminating the diverse ways in which researchers approach, negotiate, understand and interpret objects and practices of digital research.
Автор: Pyne Название: Big Data Analytics ISBN: 8132236262 ISBN-13(EAN): 9788132236269 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.
Автор: Thakuriah Название: Seeing Cities Through Big Data ISBN: 331940900X ISBN-13(EAN): 9783319409009 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Preface.- Introduction-Have We Opened Pandora's Box?.- Lost Robustness.- How and Why Our Conventional Economic Thinking Causes Global Crises.- "Networked Minds" Require A Fundamentally New Kind of Economics.- A New Kind of Economy is Born-Social Decision-Makers Beat the "Homo Economicus".- Global Networks Must Be Redesigned.- Big Data-A Powerful New Resource for the 21st Century8.- Google as God? Opportunities and Risks of the Information Age.- From Technology-Driven Society to Socially Oriented Technology: The Future of Information Society-Alternatives to Surveillance.- Big Data Society: Age of Reputation or Age of Discrimination?.- Big Data, Privacy, and Trusted Web: What Needs to Be Done.- What the Digital Revolution Means for Us.- Creating ("Making") a Planetary Nervous System as Citizen Web.
Описание: This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business.
Описание: This book will help researchers to maximize the impact and highlight the innovation of their research by showing them how to get the most out of social media when evaluating, presenting and disseminating their work.
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