Download or read book Chinese Views of Big Data Analytics written by Derek Grossman and published by . This book was released on 2020-09 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors of this report use Chinese primary-source materials to provide a preliminary analysis of China's expectations for the use of big data analytics and the country's plans and strategies for development of big data analytic capabilities.
Download or read book Managerial Perspectives on Intelligent Big Data Analytics written by Sun, Zhaohao and published by IGI Global. This book was released on 2019-02-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.
Download or read book Artificial Intelligence for COVID 19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
Download or read book Understanding China through Big Data written by Yunsong Chen and published by Routledge. This book was released on 2021-07-15 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where traditional approaches are limited by constrained and biased data. In each chapter of the book, the authors highlight an application of theory-guided macrosociology that has the potential to reinvigorate an ambitious, open-minded and bold approach to sociological research. These include social stratification, social networks, medical care, and online behaviours among many others. This research approach focuses on macro-level social process and phenomena by using quantitative models to statistically test for associations and causalities suggested by a clearly hypothesised social theory. By deploying theory-oriented macrosociology where it can best assure macro-level robustness and reliability, big data applications can be more relevant to and guided by social theory. An essential read for sociologists with an interest in quantitative and macro-scale research methods, which also provides fascinating insights into Chinese society as a demonstration of the utility of its methodology.
Download or read book Big Data Support of Urban Planning and Management written by Zhenjiang Shen and published by Springer. This book was released on 2017-09-26 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.
Download or read book Big Data and Armed Conflict written by Laura A. Dickinson and published by Oxford University Press. This book was released on 2023 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data is emerging as a key component of military operations, both on and off the battlefield. Large troves of data generated by new information technologies-often termed "big data"-are growing ever more important to a range of military functions. Military forces and other actors will increasingly need to acquire, evaluate, and utilize such data in many combat contexts. At the same time, those forces can gain advantages by targeting adversaries' data and data systems. And a multitude of actors within armed conflict, including humanitarian and human rights organizations, can also use big data to deliver aid or identify atrocities. Such myriad uses of big data raise challenging interpretive questions under international humanitarian law (IHL), the jus ad bellum, and international human rights law. This book is the first of its kind to examine how these bodies of international law might apply to the uses of big data specifically. Focusing on IHL, the book also assesses how jus ad bellum categories might translate to operations involving big data below the armed conflict threshold. And because big data is profoundly transforming modern life off the battlefield as well, the book explores questions beyond the role of big data within weapons systems and other military capabilities to questions about the nature of civilian harm and scope of individual rights. This book offers a range of approaches and ideas to this timely issue, and offers an initial roadmap for scholars, policymakers, and advocates to follow as they address the challenges still to come"--
Download or read book AI Superpowers written by Kai-Fu Lee and published by Harper Business. This book was released on 2018 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI Superpowers is Kai-Fu Lee's New York Times and USA Today bestseller about the American-Chinese competition over the future of artificial intelligence.
Download or read book Big Data Analytics for Cyber Physical System in Smart City written by Mohammed Atiquzzaman and published by Springer Nature. This book was released on 2020-01-11 with total page 2049 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Download or read book Living with Digital Surveillance in China written by Ariane Ollier-Malaterre and published by Taylor & Francis. This book was released on 2023-10-06 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital surveillance is a daily and all-encompassing reality of life in China. This book explores how Chinese citizens make sense of digital surveillance and live with it. It investigates their imaginaries about surveillance and privacy from within the Chinese socio-political system. Based on in-depth qualitative research interviews, detailed diary notes, and extensive documentation, Ariane Ollier-Malaterre attempts to ‘de-Westernise’ the internet and surveillance literature. She shows how the research participants weave a cohesive system of anguishing narratives on China’s moral shortcomings and redeeming narratives on the government and technology as civilising forces. Although many participants cast digital surveillance as indispensable in China, their misgivings, objections, and the mental tactics they employ to dissociate themselves from surveillance convey the mental and emotional weight associated with such surveillance exposure. The book is intended for academics and students in internet, surveillance, and Chinese studies, and those working on China in disciplines such as sociology, anthropology, social psychology, psychology, communication, computer sciences, contemporary history, and political sciences. The lay public interested in the implications of technology in daily life or in contemporary China will find it accessible as it synthesises the work of sinologists and offers many interview excerpts.
Download or read book We Have Been Harmonized written by Kai Strittmatter and published by HarperCollins. This book was released on 2020-09-01 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Named a Notable Work of Nonfiction of 2020 by the Washington Post As heard on NPR's Fresh Air, We Have Been Harmonized, by award-winning correspondent Kai Strittmatter, offers a groundbreaking look, based on decades of research, at how China created the most terrifying surveillance state in history. China’s new drive for repression is being underpinned by unprecedented advances in technology: facial and voice recognition, GPS tracking, supercomputer databases, intercepted cell phone conversations, the monitoring of app use, and millions of high-resolution security cameras make it nearly impossible for a Chinese citizen to hide anything from authorities. Commercial transactions, including food deliveries and online purchases, are fed into vast databases, along with everything from biometric information to social media activities to methods of birth control. Cameras (so advanced that they can locate a single person within a stadium crowd of 60,000) scan for faces and walking patterns to track each individual’s movement. In some schools, children’s facial expressions are monitored to make sure they are paying attention at the right times. In a new Social Credit System, each citizen is given a score for good behavior; for those who rate poorly, punishments include being banned from flying or taking high-speed trains, exclusion from certain jobs, and preventing their children from attending better schools. And it gets worse: advanced surveillance has led to the imprisonment of more than a million Chinese citizens in western China alone, many held in draconian “reeducation” camps. This digital totalitarianism has been made possible not only with the help of Chinese private tech companies, but the complicity of Western governments and corporations eager to gain access to China’s huge market. And while governments debate trade wars and tariffs, the Chinese Communist Party and its local partners are aggressively stepping up their efforts to export their surveillance technology abroad—including to the United States. We Have Been Harmonized is a terrifying portrait of life under unprecedented government surveillance—and a dire warning about what could happen anywhere under the pretense of national security. “Terrifying. … A warning call." —The Sunday Times (UK), a “Best Book of the Year so Far”
Download or read book Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education ICBDIE 2022 written by Zehui Zhan and published by Springer Nature. This book was released on 2023-01-20 with total page 1364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. The 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE2022) was held on April 8-10, 2022 in Beijing, China. ICBDIE2022 is to bring together innovative academics and industrial experts in the field of Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.
Download or read book Mobile Big Data written by Georgios Skourletopoulos and published by Springer. This book was released on 2017-10-31 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective. Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the ‘Anywhere, Anything, Anytime’ paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data.
Download or read book Computational Social Science written by Xiaogang Wu and published by Taylor & Francis. This book was released on 2024-06-07 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited collection provides an overview of the recent developments in computational social science related to China studies and presents interdisciplinary empirical work from diverse scholars on culture, public opinion, and education using advanced computational methods and big data. The topics covered in this book include the surge of anti-China sentiment amid the COVID-19 pandemic, the nuances of E-governance, public opinion, authoritarian reactions, artistic innovation, and educational inequality. The chapters in this book provide important insights into how computational social science can be applied generally, but also underscore the importance of combining conventional sociological research with contemporary computational methods in the context of China studies. This cutting-edge volume will be valuable resource for researchers, scholars and practitioners of Sociology, China Studies and for those interested in computational approaches to the social sciences. The chapters in this book were originally published in Chinese Sociological Review.
Download or read book Big Data Analytics for Improved Accuracy Efficiency and Decision Making in Digital Marketing written by Singh, Amandeep and published by IGI Global. This book was released on 2021-06-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays a huge role in understanding valuable insights about target demographics and customer preferences. From every interaction with technology, regardless of whether it is active or passive, we are creating new data that can describe us. If analyzed correctly, these data points can explain a lot about our behavior, personalities, and life events. Companies can leverage these insights for product improvements, business strategy, and marketing campaigns to cater to the target customers. Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing aids understanding of big data in terms of digital marketing for meaningful analysis of information that can improve marketing efforts and strategies using the latest digital techniques. The chapters cover a wide array of essential marketing topics and techniques, including search engine marketing, consumer behavior, social media marketing, online advertising, and how they interact with big data. This book is essential for professionals and researchers working in the field of analytics, data, and digital marketing, along with marketers, advertisers, brand managers, social media specialists, managers, sales professionals, practitioners, researchers, academicians, and students looking for the latest information on how big data is being used in digital marketing strategies.
Download or read book Applied Big Data Analytics in Operations Management written by Kumar, Manish and published by IGI Global. This book was released on 2016-09-30 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.
Download or read book Big Data and Global Trade Law written by Mira Burri and published by Cambridge University Press. This book was released on 2021-07-29 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exploration of the current state of global trade law in the era of Big Data and AI. This title is also available as Open Access on Cambridge Core.
Download or read book Trafficking Data written by Aynne Kokas and published by Oxford University Press. This book was released on 2022-11 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Trafficking Data argues that the movement of human data across borders for political and financial gain is disenfranchising consumers, eroding national autonomy, and destabilizing sovereignty. Focusing on the United States and China, it traces how US government leadership failures, Silicon Valley's disruption fetish, and Wall Street's addiction to growth have yielded an unprecedented opportunity for Chinese firms to gather data in the United States and quietly send it back to China, and by extension, the Chinese government. Such "data trafficking," as the book names this insidious phenomenon, is enabled by the competing governance models of the world's two largest economies: mass government data aggregation in China and impenetrable corporate data management policies in the United States. China is stepping up its data trafficking efforts through national regulations, soft power persuasion, and tech investment, extending the scope of state control over domestic and international data and tech infrastructure, and thereby expanding its global influence. The United States, by contrast, is retreating from participation in foreign alliances, international organizations, and the systemic regulation of the tech industry-practices with the potential to counter data trafficking. Confronting data trafficking as the defining international competition of the twenty-first century, this book ultimately advocates for an alternative future of data stabilization. To stem data trafficking and stabilize data flows, it shows, policymakers can synthesize tools from across the private sector, public sector, multi-national organizations, and consumers to protect users, secure national sovereignty, and establish valuable international standards"--
