After Theory Before Big Data

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After Theory, Before Big Data

Friedrich Kratochwil
After Theory Before Big Data Book PDF

Author : Friedrich Kratochwil
Publisher : Routledge
Page : 283 pages
File Size : 43,5 Mb
Release : 2021-07-13
Category : Political Science
ISBN : 9781000401646

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After Theory, Before Big Data by Friedrich Kratochwil Pdf

This book’s key purpose is to contribute to the ongoing "theoretical" discussion in the field of international relations (IR) concerning the status of grand theories. However, it also has a wider, critical mission: to challenge mainstream social science and its dominant methodology, as well as the unfettered optimism that the problem of social order can be solved by the "application" of scientific knowledge to our practical problems. The author uses rigorous philosophical analysis to focus on the unexamined assumptions that form the bedrock of many contemporary scholars in IR and demonstrates the unavailability of a universal "scientific" procedure for finding the facts, when we face practical choices and issues of social reproduction. This book will be of interest to upper-level students of IR, sociology, history, and philosophy of science; it will also speak to students of security, foreign policy making, migration, and political economy, in addressing the basis of their attitudes in thinking about the world and the role of scholarship.

Power Relations and Comparative Regionalism

Min-hyung Kim,James A. Caporaso
Power Relations and Comparative Regionalism Book PDF

Author : Min-hyung Kim,James A. Caporaso
Publisher : Routledge
Page : 224 pages
File Size : 42,5 Mb
Release : 2021-07-29
Category : Political Science
ISBN : 9781000421002

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Power Relations and Comparative Regionalism by Min-hyung Kim,James A. Caporaso Pdf

Three trends have dominated the political economy of integration during the last two decades: globalization, economic nationalism, and regionalization. This book explores comparative regional integration, focusing on both intra­ regional integration and relations among regions in the context of power. The most common focus of integration studies has been on the logic of cooperation, but there is another logic of integration: power. The relevance of power today is represented by the relations within the Eurozone, especially between creditors and debtors. By the same line of reasoning, integration in Asia cannot ignore the respective roles of China, Japan, and Korea, nor the unresolved disputes about Taiwan, Hong Kong, and the islands in the South China Sea. This edited volume addresses the role of power in regional integration in three contexts: (1) the role of hegemonic external actors (the US and China) in regional integration; (2) the role of core states within regions (Germany, China , Japan, and Brazil); and (3) the role of noncore states- smaller and middle­ range powers (Italy and Greece in Europe; South Korea and Malaysia in Asia; and Argentina, Colombia, Uruguay, and Paraguay in Latin America). This book will benefit students and scholars of international relations and comparative political economy, especially those with an interest in integration studies and comparative regionalism.

Social Theory after the Internet

Ralph Schroeder
Social Theory after the Internet Book PDF

Author : Ralph Schroeder
Publisher : UCL Press
Page : 210 pages
File Size : 43,5 Mb
Release : 2018-01-04
Category : Social Science
ISBN : 9781787351233

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Social Theory after the Internet by Ralph Schroeder Pdf

The internet has fundamentally transformed society in the past 25 years, yet existing theories of mass or interpersonal communication do not work well in understanding a digital world. Nor has this understanding been helped by disciplinary specialization and a continual focus on the latest innovations. Ralph Schroeder takes a longer-term view, synthesizing perspectives and findings from various social science disciplines in four countries: the United States, Sweden, India and China. His comparison highlights, among other observations, that smartphones are in many respects more important than PC-based internet uses. Social Theory after the Internet focuses on everyday uses and effects of the internet, including information seeking and big data, and explains how the internet has gone beyond traditional media in, for example, enabling Donald Trump and Narendra Modi to come to power. Schroeder puts forward a sophisticated theory of the role of the internet, and how both technological and social forces shape its significance. He provides a sweeping and penetrating study, theoretically ambitious and at the same time always empirically grounded.The book will be of great interest to students and scholars of digital media and society, the internet and politics, and the social implications of big data.

Social Theory after the Internet

Ralph Schroeder
Social Theory after the Internet Book PDF

Author : Ralph Schroeder
Publisher : UCL Press
Page : 210 pages
File Size : 49,9 Mb
Release : 2018-01-04
Category : Social Science
ISBN : 9781787351240

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Social Theory after the Internet by Ralph Schroeder Pdf

The internet has fundamentally transformed society in the past 25 years, yet existing theories of mass or interpersonal communication do not work well in understanding a digital world. Nor has this understanding been helped by disciplinary specialization and a continual focus on the latest innovations. Ralph Schroeder takes a longer-term view, synthesizing perspectives and findings from various social science disciplines in four countries: the United States, Sweden, India and China. His comparison highlights, among other observations, that smartphones are in many respects more important than PC-based internet uses. Social Theory after the Internet focuses on everyday uses and effects of the internet, including information seeking and big data, and explains how the internet has gone beyond traditional media in, for example, enabling Donald Trump and Narendra Modi to come to power. Schroeder puts forward a sophisticated theory of the role of the internet, and how both technological and social forces shape its significance. He provides a sweeping and penetrating study, theoretically ambitious and at the same time always empirically grounded.The book will be of great interest to students and scholars of digital media and society, the internet and politics, and the social implications of big data.

Big Data

Viktor Mayer-Schönberger,Kenneth Cukier
Big Data Book PDF

Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 40,7 Mb
Release : 2013
Category : Business & Economics
ISBN : 9780544002692

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Big Data by Viktor Mayer-Schönberger,Kenneth Cukier Pdf

A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Mathematical Foundations of Big Data Analytics

Vladimir Shikhman,David Müller
Mathematical Foundations of Big Data Analytics Book PDF

Author : Vladimir Shikhman,David Müller
Publisher : Springer Nature
Page : 273 pages
File Size : 50,6 Mb
Release : 2021-02-11
Category : Computers
ISBN : 9783662625217

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Mathematical Foundations of Big Data Analytics by Vladimir Shikhman,David Müller Pdf

In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. – mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a wide range of mathematics – from basic disciplines of numerical linear algebra, statistics and optimization to more specialized game, graph and even complexity theories. By doing so, we cover all relevant techniques commonly used in Big Data Analytics.Each chapter starts with a concrete practical problem whose primary aim is to motivate the study of a particular Big Data Analytics technique. Next, mathematical results follow – including important definitions, auxiliary statements and conclusions arising. Case-studies help to deepen the acquired knowledge by applying it in an interdisciplinary context. Exercises serve to improve understanding of the underlying theory. Complete solutions for exercises can be consulted by the interested reader at the end of the textbook; for some which have to be solved numerically, we provide descriptions of algorithms in Python code as supplementary material.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

Big Data Analytics in Supply Chain Management

Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Big Data Analytics in Supply Chain Management Book PDF

Author : Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Publisher : CRC Press
Page : 211 pages
File Size : 46,7 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9781000326918

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Big Data Analytics in Supply Chain Management by Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü Pdf

In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.

Big Data to Improve Strategic Network Planning in Airlines

Maximilian Schosser
Big Data to Improve Strategic Network Planning in Airlines Book PDF

Author : Maximilian Schosser
Publisher : Springer Nature
Page : 462 pages
File Size : 45,9 Mb
Release : 2019-09-05
Category : Business & Economics
ISBN : 9783658275822

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Big Data to Improve Strategic Network Planning in Airlines by Maximilian Schosser Pdf

Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments.

Deep Learning: Convergence to Big Data Analytics

Murad Khan,Bilal Jan,Haleem Farman
Deep Learning Convergence to Big Data Analytics Book PDF

Author : Murad Khan,Bilal Jan,Haleem Farman
Publisher : Springer
Page : 79 pages
File Size : 50,7 Mb
Release : 2018-12-30
Category : Computers
ISBN : 9789811334597

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Deep Learning: Convergence to Big Data Analytics by Murad Khan,Bilal Jan,Haleem Farman Pdf

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various challenges, such as fast, accurate and efficient processing of big data in real-time. In addition, the Internet of Things is progressively increasing in various fields, like smart cities, smart homes, and e-health. As the enormous number of connected devices generate huge amounts of data every day, we need sophisticated algorithms to deal, organize, and classify this data in less processing time and space. Similarly, existing techniques and algorithms for deep learning in big data field have several advantages thanks to the two main branches of the deep learning, i.e. convolution and deep belief networks. This book offers insights into these techniques and applications based on these two types of deep learning. Further, it helps students, researchers, and newcomers understand big data analytics based on deep learning approaches. It also discusses various machine learning techniques in concatenation with the deep learning paradigm to support high-end data processing, data classifications, and real-time data processing issues. The classification and presentation are kept quite simple to help the readers and students grasp the basics concepts of various deep learning paradigms and frameworks. It mainly focuses on theory rather than the mathematical background of the deep learning concepts. The book consists of 5 chapters, beginning with an introductory explanation of big data and deep learning techniques, followed by integration of big data and deep learning techniques and lastly the future directions.

Theory and Practice of Business Intelligence in Healthcare

Khuntia, Jiban,Ning, Xue,Tanniru, Mohan
Theory and Practice of Business Intelligence in Healthcare Book PDF

Author : Khuntia, Jiban,Ning, Xue,Tanniru, Mohan
Publisher : IGI Global
Page : 322 pages
File Size : 50,8 Mb
Release : 2019-12-27
Category : Medical
ISBN : 9781799823117

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Theory and Practice of Business Intelligence in Healthcare by Khuntia, Jiban,Ning, Xue,Tanniru, Mohan Pdf

Business intelligence supports managers in enterprises to make informed business decisions in various levels and domains such as in healthcare. These technologies can handle large structured and unstructured data (big data) in the healthcare industry. Because of the complex nature of healthcare data and the significant impact of healthcare data analysis, it is important to understand both the theories and practices of business intelligence in healthcare. Theory and Practice of Business Intelligence in Healthcare is a collection of innovative research that introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare. While highlighting topics including digital health, operations intelligence, and patient empowerment, this book is ideally designed for healthcare professionals, IT consultants, hospital directors, data management staff, data analysts, hospital administrators, executives, managers, academicians, students, and researchers seeking current research on the digitization of health records and health systems integration.

Rhetorical Theory and Praxis in the Business Communication Classroom

Kristen Getchell,Paula Lentz
Rhetorical Theory and Praxis in the Business Communication Classroom Book PDF

Author : Kristen Getchell,Paula Lentz
Publisher : Routledge
Page : 212 pages
File Size : 42,6 Mb
Release : 2018-09-10
Category : Language Arts & Disciplines
ISBN : 9781351132855

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Rhetorical Theory and Praxis in the Business Communication Classroom by Kristen Getchell,Paula Lentz Pdf

Rhetorical Theory and Praxis in the Business Communication Classroom responds to a significant need in the emerging field of business communication as the first collection of its type to establish a connection between rhetorical theory and practice in the business communication classroom. The volume includes topics such as rhetorical grammar, genre awareness in business communication theory, the role of big data in message strategy, social media and memory, and the connection between rhetorical theory and entrepreneurship. These essays provide the business communication scholar, practitioner, and program administrator insight into the rhetorical considerations of the business communication landscape.

Praxis

Friedrich Kratochwil
Praxis Book PDF

Author : Friedrich Kratochwil
Publisher : Cambridge University Press
Page : 0 pages
File Size : 42,7 Mb
Release : 2022-11-03
Category : Political Science
ISBN : 110845738X

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Praxis by Friedrich Kratochwil Pdf

Praxis investigates both the existing practices of international politics and relations during and after the Cold War, and the issue of whether problems of praxis (individual and collective choices) can be subjected to a 'theoretical treatment'. The book comes in two parts: the first deals with the constitution of international relations and the role of theoretical norms in guiding decisions, in areas such as sanctions, the punishment of international crimes, governance and 'constitutional' concern, the second is devoted to 'theory building'. While a 'theorization' of praxis has often been attempted, Kratochwil argues that such endeavours do not attend to certain important elements characteristic of practical choices. Praxis presents a shift from the accepted international relations standard of theorizing, by arguing for the analysis of policy decisions made in non-ideal conditions within a broader framework of practical choices, emphasizing both historicity and contingency.

Noise Filtering for Big Data Analytics

Souvik Bhattacharyya,Koushik Ghosh
Noise Filtering for Big Data Analytics Book PDF

Author : Souvik Bhattacharyya,Koushik Ghosh
Publisher : Walter de Gruyter GmbH & Co KG
Page : 195 pages
File Size : 46,8 Mb
Release : 2022-06-21
Category : Computers
ISBN : 9783110697261

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Noise Filtering for Big Data Analytics by Souvik Bhattacharyya,Koushik Ghosh Pdf

This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.

Big Data Concepts, Theories, and Applications

Shui Yu,Song Guo
Big Data Concepts Theories and Applications Book PDF

Author : Shui Yu,Song Guo
Publisher : Springer
Page : 437 pages
File Size : 49,8 Mb
Release : 2016-03-03
Category : Computers
ISBN : 9783319277639

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Big Data Concepts, Theories, and Applications by Shui Yu,Song Guo Pdf

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.

Big Data, Little Data, No Data

Christine L. Borgman
Big Data Little Data No Data Book PDF

Author : Christine L. Borgman
Publisher : MIT Press
Page : 411 pages
File Size : 48,5 Mb
Release : 2015
Category : Computers
ISBN : 9780262028561

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Big Data, Little Data, No Data by Christine L. Borgman Pdf

An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “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.