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Author: Noby Thomas Cyriac
Publisher: Nomos Verlag
ISBN: 3748934718
Category : Law
Languages : en
Pages : 322
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Book Description
Der Autor untersucht interdisziplinär, inwieweit Art. 102 AEUV geeignet ist, den Wettbewerb vor dem missbräuchlichen Verhalten marktbeherrschender Plattformen zu schützen. Nach einer ersten Erörterung der Grundlagen der digitalen Wirtschaft, insbesondere Big Data und mehrseitige Plattformen, werden die relevanten Konzepte, die von EU-Kommission und EU-Gerichten in ihrer Entscheidungspraxis zur Auslegung von Art. 102 AEUV entwickelt wurden, näher beleuchtet, um ihre Eignung für das Missbrauchsverbot mit Blick auf Plattformbetreiber vor dem Hintergrund der Besonderheiten mehrseitiger Märkte zu bewerten. Auch das Vorhandensein und die Abgrenzung eines Datenmarktes werden diskutiert.
Author: Noby Thomas Cyriac
Publisher: Nomos Verlag
ISBN: 3748934718
Category : Law
Languages : en
Pages : 322
Get Book Here
Book Description
Der Autor untersucht interdisziplinär, inwieweit Art. 102 AEUV geeignet ist, den Wettbewerb vor dem missbräuchlichen Verhalten marktbeherrschender Plattformen zu schützen. Nach einer ersten Erörterung der Grundlagen der digitalen Wirtschaft, insbesondere Big Data und mehrseitige Plattformen, werden die relevanten Konzepte, die von EU-Kommission und EU-Gerichten in ihrer Entscheidungspraxis zur Auslegung von Art. 102 AEUV entwickelt wurden, näher beleuchtet, um ihre Eignung für das Missbrauchsverbot mit Blick auf Plattformbetreiber vor dem Hintergrund der Besonderheiten mehrseitiger Märkte zu bewerten. Auch das Vorhandensein und die Abgrenzung eines Datenmarktes werden diskutiert.
Author: Mor Bakhoum
Publisher: Springer
ISBN: 3662576465
Category : Law
Languages : en
Pages : 569
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Book Description
This book analyses the legal approach to personal data taken by different fields of law. An increasing number of business models in the digital economy rely on personal data as a key input. In exchange for sharing their data, online users benefit from personalized and innovative services. But companies’ collection and use of personal data raise questions about privacy and fundamental rights. Moreover, given the substantial commercial and strategic value of personal data, their accumulation, control and use may raise competition concerns and negatively affect consumers. To establish a legal framework that ensures an adequate level of protection of personal data while at the same time providing an open and level playing field for businesses to develop innovative data-based services is a challenging task.With this objective in mind and against the background of the uniform rules set by the EU General Data Protection Regulation, the contributions to this book examine the significance and legal treatment of personal data in competition law, consumer protection law, general civil law and intellectual property law. Instead of providing an isolated analysis of the different areas of law, the book focuses on both synergies and tensions between the different legal fields, exploring potential ways to develop an integrated legal approach to personal data.
Author: James R. Kalyvas
Publisher: CRC Press
ISBN: 1466592370
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
Big Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data. Providing business executives and lawyers (in-house and in private practice) with an accessible primer on Big Data and its business implications, this book will enable readers to quickly grasp the key issues and effectively implement the right solutions to collecting, licensing, handling, and using Big Data. The book brings together subject matter experts who examine a different area of law in each chapter and explain how these laws can affect the way your business or organization can use Big Data. These experts also supply recommendations as to the steps your organization can take to maximize Big Data opportunities without increasing risk and liability to your organization. Provides a new way of thinking about Big Data that will help readers address emerging issues Supplies real-world advice and practical ways to handle the issues Uses examples pulled from the news and cases to illustrate points Includes a non-technical Big Data primer that discusses the characteristics of Big Data and distinguishes it from traditional database models Taking a cross-disciplinary approach, the book will help executives, managers, and counsel better understand the interrelationships between Big Data, decisions based on Big Data, and the laws, regulations, and contracting practices that impact its use. After reading this book, you will be able to think more broadly about the best way to harness Big Data in your business and establish procedures to ensure that legal considerations are part of the decision.
Author: Executive Office of the President
Publisher: CreateSpace
ISBN: 9781503016446
Category : Political Science
Languages : en
Pages : 84
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Book Description
Since the first censuses were taken and crop yields recorded in ancient times, data collection and analysis have been essential to improving the functioning of society. Foundational work in calculus, probability theory, and statistics in the 17th and 18th centuries provided an array of new tools used by scientists to more precisely predict the movements of the sun and stars and determine population-wide rates of crime, marriage, and suicide. These tools often led to stunning advances. In the 1800s, Dr. John Snow used early modern data science to map cholera “clusters” in London. By tracing to a contaminated public well a disease that was widely thought to be caused by “miasmatic” air, Snow helped lay the foundation for the germ theory of disease.Gleaning insights from data to boost economic activity also took hold in American industry. Frederick Winslow Taylor's use of a stopwatch and a clipboard to analyze productivity at Midvale Steel Works in Pennsylvania increased output on the shop floor and fueled his belief that data science could revolutionize every aspect of life.2 In 1911, Taylor wrote The Principles of Scientific Management to answer President Theodore Roosevelt's call for increasing “national efficiency”: Today, data is more deeply woven into the fabric of our lives than ever before. We aspire to use data to solve problems, improve well-being, and generate economic prosperity. The collection, storage, and analysis of data is on an upward and seemingly unbounded trajectory, fueled by increases in processing power, the cratering costs of computation and storage, and the growing number of sensor technologies embedded in devices of all kinds. In 2011, some estimated the amount of information created and replicated would surpass 1.8 zettabytes. In 2013, estimates reached 4 zettabytes of data generated worldwide.
Author: Geetam S. Tomar
Publisher: CRC Press
ISBN: 1315351072
Category : Business & Economics
Languages : en
Pages : 309
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Book Description
The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.
Author: Orwat, Carsten
Publisher: KIT Scientific Publishing
ISBN: 3731508591
Category :
Languages : en
Pages : 86
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Book Description
Author: Seifedine Kadry
Publisher: Springer Nature
ISBN: 9464631244
Category : Business & Economics
Languages : en
Pages : 739
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Book Description
This is an open access book.2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022) will be held from December 2 to 3 in Zhengzhou, China. The conference is co-hosted by Henan University, Henan Academy of Sciences and Henan Association for Science and technology. It dedicates to create a platform for academic communications between specialists and scholars in the fields of Big Data Economy and Information Management. The conference will create a path to establish a research relation for the authors and listeners with opportunities for collaboration and networking among the universities and institutions for promoting research and developing technologies.
Author: Joe Cannataci
Publisher: Edward Elgar Publishing
ISBN: 1788976223
Category : Law
Languages : en
Pages : 328
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Book Description
This groundbreaking book explores the new legal and economic challenges triggered by big data, and analyses the interactions among and between intellectual property, competition law, free speech, privacy and other fundamental rights vis-à-vis big data analysis and algorithms.
Author: Federal Trade Federal Trade Commission
Publisher: Createspace Independent Publishing Platform
ISBN: 9781535337441
Category :
Languages : en
Pages : 48
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Book Description
We are in the era of big data. With a smartphone now in nearly every pocket, a computer in nearly every household, and an ever-increasing number of Internet-connected devices in the marketplace, the amount of consumer data flowing throughout the economy continues to increase rapidly. The analysis of this data is often valuable to companies and to consumers, as it can guide the development of new products and services, predict the preferences of individuals, help tailor services and opportunities, and guide individualized marketing. At the same time, advocates, academics, and others have raised concerns about whether certain uses of big data analytics may harm consumers, particularly lowincome and underserved populations. To explore these issues, the Federal Trade Commission ("FTC" or "the Commission") held a public workshop, Big Data: A Tool for Inclusion or Exclusion?, on September 15, 2014. The workshop brought together stakeholders to discuss both the potential of big data to create opportunities for consumers and to exclude them from such opportunities. The Commission has synthesized the information from the workshop, a prior FTC seminar on alternative scoring products, and recent research to create this report. Though "big data" encompasses a wide range of analytics, this report addresses only the commercial use of big data consisting of consumer information and focuses on the impact of big data on low-income and underserved populations. Of course, big data also raises a host of other important policy issues, such as notice, choice, and security, among others. Those, however, are not the primary focus of this report. As "little" data becomes "big" data, it goes through several phases. The life cycle of big data can be divided into four phases: (1) collection; (2) compilation and consolidation; (3) analysis; and (4) use. This report focuses on the fourth phase and discusses the benefits and risks created by the use of big data analytics; the consumer protection and equal opportunity laws that currently apply to big data; research in the field of big data; and lessons that companies should take from the research. Ultimately, this report is intended to educate businesses on important laws and research that are relevant to big data analytics and provide suggestions aimed at maximizing the benefits and minimizing its risks.
Author: John Macintyre
Publisher: Springer Nature
ISBN: 3030895084
Category : Computers
Languages : en
Pages : 1169
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Book Description
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
