The Trend Analysis of the Second Industrial Structure Changes in Yunnan Province of China Based on the Big Data Technology and Dynamic Shift-Share Method Analysis

Author(s):  
Xiong Chenran ◽  
Niu Lede ◽  
Liang Xiyun ◽  
Jiang Meiying
Legal Concept ◽  
2021 ◽  
pp. 155-160
Author(s):  
Alexey Churilov ◽  

Introduction: the development of technologies for collecting and processing information gave rise to the emergence of a recent phenomenon on the market – Big Data, which is in a certain conflict with the current legislation on personal data. Objective: to study the problems and features of the legal regulation of Big Data considering their technological features. Methods: the methodological basis of the study is a set of methods of scientific knowledge, among which the primary place is occupied by the methods of historicism, systematic method, analysis. Results: the problems of compliance of the current regulation of relations regarding personal data with the realities of the technological development of society were analyzed, including the compliance of Big Data technology with the general principles of processing personal data, reflected in both domestic and foreign legislation. Conclusions: the author concludes that regulation of personal data lags the needs of entrepreneurs using Big Data in their work, and the need for a careful choice of a model for the legal regulation of relations arising from the use of this technology to achieve a balance of private and public interests.


2019 ◽  
Vol 58 (4) ◽  
pp. 259-270
Author(s):  
Min Soo Kim ◽  
Seung Wook Oh ◽  
Jin-Wook Han

Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.


2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document