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 Рейтинг: Цена: 183920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 76020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Peter Lake; Robert Drake Название: Information Systems Management in the Big Data Era ISBN: 3319135023 ISBN-13(EAN): 9783319135021 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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;
Автор: Roberts Eugene Название: Big Barriers to Big Data Analytics in Medicare ISBN: 3668416494 ISBN-13(EAN): 9783668416499 Издательство: Неизвестно Цена: 43570.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Название: The Politics and Policies of Big Data ISBN: 0367432307 ISBN-13(EAN): 9780367432300 Издательство: Taylor&Francis Рейтинг: Цена: 35720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Kutz J Nathan Название: Data-Driven Modeling & Scientific Computation ISBN: 0199660344 ISBN-13(EAN): 9780199660346 Издательство: Oxford Academ Рейтинг: Цена: 49620.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Koitzsch Название: Pro Hadoop Data Analytics ISBN: 1484219090 ISBN-13(EAN): 9781484219096 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Christian K?nig; Jette Schr?der; Erich Wiegand Название: Big Data ISBN: 3658200820 ISBN-13(EAN): 9783658200824 Издательство: Springer Рейтинг: Цена: 33070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual's economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture and data comparisons, it delivers useful insights into legal, regulatory and data manipulation.
Provides insights into credit scoring goals and methods
Examines U.S leadership in developing credit data and algorithms and how other countries depart from it
Analyzes the growing influence of algorithms in data scoring
Название: Big Data - A New Medium? ISBN: 036733383X ISBN-13(EAN): 9780367333836 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Hristova Stefka, Hong Soonkwan, Slack Jennifer Daryl Название: Algorithmic Culture: How Big Data and Artificial Intelligence Are Transforming Everyday Life ISBN: 1793635730 ISBN-13(EAN): 9781793635730 Издательство: Rowman & Littlefield Publishers Рейтинг: Цена: 126720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores the complex ways in which algorithms and big data are reshaping everyday culture, while at the same time perpetuating inequality and intersectional discrimination. It situates issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity.
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