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Big Data - A New Medium?, 


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Название:  Big Data - A New Medium?
Перевод названия: Большие данные - новая среда?
ISBN: 9780367333843
Издательство: Taylor&Francis
Классификация:






ISBN-10: 0367333848
Обложка/Формат: Paperback
Страницы: 224
Вес: 0.45 кг.
Дата издания: 30.05.2020
Серия: Routledge Studies in Science, Technology and Society
Язык: English
Иллюстрации: 7 line drawings, black and white; 14 halftones, black and white; 21 illustrations, black and white
Размер: 156 x 236 x 18
Читательская аудитория: Undergraduate
Основная тема: Sociology of Science & Technology
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the Big Data phenomenon.


Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era

Автор: Katoh Naoki, Higashikawa Yuya, Ito Hiro
Название: Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era
ISBN: 9811640947 ISBN-13(EAN): 9789811640940
Издательство: Springer
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Цена: 5589.00 р.
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Описание: This open access book gives an overview of cutting-edge work on a new paradigm called the "sublinear computation paradigm," which was proposed in the large multiyear academic research project "Foundations of Innovative Algorithms for Big Data." That project ran from October 2014 to March 2020, in Japan.

The Trouble with Big Data: How Datafication Displaces Cultural Practices

Автор: Edmond Jennifer, Mandal Anthony, Horsley Nicola
Название: The Trouble with Big Data: How Datafication Displaces Cultural Practices
ISBN: 1350239623 ISBN-13(EAN): 9781350239623
Издательство: Bloomsbury Academic
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Цена: 27588.00 р.
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Описание: This open access book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation. The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Trinity College Dublin, DARIAH-EU and the European Commission.

Data-Driven Modeling & Scientific Computation

Автор: Kutz J Nathan
Название: Data-Driven Modeling & Scientific Computation
ISBN: 0199660344 ISBN-13(EAN): 9780199660346
Издательство: Oxford Academ
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Цена: 7443.00 р.
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Описание: Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.

Pro Hadoop Data Analytics

Автор: Koitzsch
Название: Pro Hadoop Data Analytics
ISBN: 1484219090 ISBN-13(EAN): 9781484219096
Издательство: Springer
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Цена: 5589.00 р.
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Описание:

Learn advanced analytical techniques and leverage existing toolkits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems which go beyond the basics of classification, clustering, and recommendation.In Pro Hadoop Data Analytics best practices are emphasized to ensure coherent, efficient development. A complete example system will be developed using standard third-party components which will consist of the toolkits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system.The book emphasizes four important topics:The importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. Best practices and structured design principles. This will include strategic topics as well as the how to example portions.The importance of mix-and-match or hybrid systems, using different analytical components in one application to accomplish application goals. The hybrid approach will be prominent in the examples.Use of existing third-party libraries is key to effective development. Deep dive examples of the functionality of some of these toolkits will be showcased as you develop the example system.
What You'll Learn The what, why, and how of building big data analytic systems with the Hadoop ecosystemLibraries, toolkits, and algorithms to make development easier and more effectiveBest practices to use when building analytic systems with Hadoop, and metrics to measure performance and efficiency of components and systemsHow to connect to standard relational databases, noSQL data sources, and moreUseful case studies and example components which assist you in creating your own systems
Who This Book Is For
Software engineers, architects, and data scientists with an interest in the design and implementation of big data analytical systems using Hadoop, the Hadoop ecosystem, and other associated technologies.
The Politics and Policies of Big Data

Название: The Politics and Policies of Big Data
ISBN: 0367432307 ISBN-13(EAN): 9780367432300
Издательство: Taylor&Francis
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Цена: 5358.00 р.
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Описание: How are we to deal with Big Data? When is it beneficial to us? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance.

Big Barriers to Big Data Analytics in Medicare

Автор: Roberts Eugene
Название: Big Barriers to Big Data Analytics in Medicare
ISBN: 3668416494 ISBN-13(EAN): 9783668416499
Издательство: Неизвестно
Цена: 6535.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Big Data

Автор: Christian K?nig; Jette Schr?der; Erich Wiegand
Название: Big Data
ISBN: 3658200820 ISBN-13(EAN): 9783658200824
Издательство: Springer
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Цена: 4961.00 р.
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Описание: Mit Beitrдgen von: Sibylle von Oppeln-Bronikowski.- Thomas Riede.- Bernd Wachter.- Frauke Kreuter, Florian Keusch, Evgenia Samoilova & Karin Frц inger.- Lara Wiengarten & Markus Zwick.- Martina Rengers.- Gцran Kauermann.- Erich Wiegand.- Katharina Schьller.- Thomas K. Bauer, Phillip Breidenbach & Sandra Schaffner.- Gerrit Hornung & Constantin Herfurth.

Big Data - A New Medium?

Название: Big Data - A New Medium?
ISBN: 036733383X ISBN-13(EAN): 9780367333836
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Описание: Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the Big Data phenomenon.

Politics and Big Data

Автор: Ceron, Andrea,
Название: Politics and Big Data
ISBN: 0367194554 ISBN-13(EAN): 9780367194550
Издательство: Taylor&Francis
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Цена: 5664.00 р.
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Описание: The importance of social media as a way to monitor an electoral campaign is well established. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, Italy and the United States demonstrate how much more accurate `Sentiment Analysis` can prove.

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Автор: Fong, Simon James, Millham, Richard C
Название: Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
ISBN: 9811566941 ISBN-13(EAN): 9789811566943
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases.

Genomics Analysis with Spark, Docker, and Clouds: A Guide to Big Data Tools for Genomics Research

Автор: O`Connor Brian D., Auwera Geraldine Van
Название: Genomics Analysis with Spark, Docker, and Clouds: A Guide to Big Data Tools for Genomics Research
ISBN: 1491975199 ISBN-13(EAN): 9781491975190
Издательство: Wiley
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Цена: 11403.00 р.
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Описание: Data in the genomics field is booming. With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra.

Information Systems Management in the Big Data Era

Автор: Peter Lake; Robert Drake
Название: Information Systems Management in the Big Data Era
ISBN: 3319135023 ISBN-13(EAN): 9783319135021
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. describes the key technologies involved in information systems in general and big data in particular, placing these technologies in an historic context;


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