Author: Li Zhang
Publisher: Springer Nature
ISBN: 9811904286
Category : Social Science
Languages : en
Pages : 215
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Book Description
This book introduces China’s current publishing industry in the new era, especially when facing the big challenge from social media and technology transformation. Based on the calculation for the first time, the book and overall size of the content data of publications in China, the book presents 15 cases of Chinese publishers looking for opportunities to develop business, using the technology of big data and Internet. For global readers, it may help to build an overview on China's publishing industry and business innovation cases of media companies.
Author: Chinese Academy of Sciences
Publisher: Springer Nature
ISBN: 9811393907
Category : Technology & Engineering
Languages : en
Pages : 387
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Book Description
This book is jointly compiled by Chinese Academy of Sciences, Cyberspace Administration of China, Ministry of Education of the People’s Republic of China, Ministry of Science and Technology of the People’s Republic of China, Chinese Academy of Social Sciences, National Natural Science Foundation of China and Chinese Academy of Agricultural Sciences. Over the past several years, Chinese scholars have contributed numerous research works on the development of Chinese scientific information and technology, and produced a range of outstanding achievements. Focusing on the main topic of e-Science, this book explores the forefront of science and technology around the globe, the major demands in China and the main fields in China’s economic development. Furthermore, it reviews the major achievements and the typical cases in China's e-Science research. It provides a valuable reference source for future technological innovations and will introduce researchers and students in the area of e-Science to the latest results in China.
Author: Zhenjiang Shen
Publisher: Springer
ISBN: 3319519298
Category : Business & Economics
Languages : en
Pages : 467
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Book Description
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.
Author: Robert Baensch
Publisher: Routledge
ISBN: 1351475789
Category : Language Arts & Disciplines
Languages : en
Pages : 173
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Book Description
The Publishing Industry in China is a timely volume that covers all aspects of China's book, magazine, and online publishing industry. Various chapters discuss the different market segments of trade, scientific, technical, professional, education, and children's books.
Author: Xiaoming Zhu
Publisher: Springer
ISBN: 981101079X
Category : Business & Economics
Languages : en
Pages : 250
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Book Description
This book introduces 10 mega business trends, ranging from big data to the O2O model. By mining and analyzing mountains of data, the author identifies these 10 emerging trends and goes to great lengths to explain and support his views with up-to-date cases. By incorporating the latest developments, this book allows readers to keep abreast of rapidly advancing digital technologies and business models. In this time of mass entrepreneurship and innovation, acquiring deep insights into business trends and grasping opportunities for innovation give readers (business executives in particular) and their companies a competitive advantage and the potential to become the next success story. The Chinese version of the book has become a hit, with some business schools using it as a textbook for their S&T Innovation and Business Trends programs. It also provides business executives with a practical guide for their investment and operation decisions.
Author: A.J. Tallón-Ballesteros
Publisher: IOS Press
ISBN: 1643681354
Category : Computers
Languages : en
Pages : 812
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Book Description
The interdisciplinary field of fuzzy logic encompass applications in the electrical, industrial, chemical and engineering realms as well as in areas of management and environmental issues, while data mining covers new approaches to big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from the 6th International Conference on Fuzzy Systems and Data Mining (FSDM 2020). The conference was originally due to be held from 13-16 November 2020 in Xiamen, China, but was changed to an online conference held on the same dates due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers academics and delegates from industry. This year, the committee received 316 submissions, of which 76 papers were selected for inclusion in the conference; an acceptance rate of 24%. The conference covers four main areas: fuzzy theory; algorithms and systems, which includes topics like stability; foundations and control; and fuzzy applications, which are widely used and cover various types of processing as well as hardware and architecture for big data and time series. Providing a current overview of research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.
Author: Mohammed Atiquzzaman
Publisher: Springer Nature
ISBN: 9811525684
Category : Technology & Engineering
Languages : en
Pages : 2049
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Book Description
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.
Author: Guiyun Guan
Publisher: Springer Nature
ISBN: 9464630647
Category : Computers
Languages : en
Pages : 1195
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Book Description
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. The 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) was held on August 19 – 21, 2022, in Hulunbuir, China. With the support of experts and professors, the ICBDSS 2022 conference successfully held its first conference last year. In order to allow more scholars to have the opportunity to participate in the conference to share and exchange experience. This conference mainly focused on "big data", "social science" and other research fields to discuss. At present, my country has entered the era of "big data cloud migration", that is, the era of big data, the Internet of things, cloud computing and mobile Internet. The market demand for big data talents is also increasing day by day. The purpose of the conference is to provide a way for experts, scholars, engineering technicians, and technical R&D personnel engaged in big data and social science research to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the academic achievement industry Platform for chemical cooperation. The conference sincerely invites experts, scholars from domestic and foreign universities, scientific research institutions, business people and other relevant personnel to participate in the conference.
Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Author: Cui Yadong
Publisher: Springer Nature
ISBN: 981971060X
Category :
Languages : en
Pages : 490
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Book Description
