Research on the Supervision Method of Big Data Technology in the Systemic Risk of Internet Finance in China

2020 ◽  
Author(s):  
Xin Wang ◽  
Jun Ma
Keyword(s):  
Big Data ◽  
Systemic Risk ◽  
Internet Finance ◽  
Big Data Technology

Study on the User-Side Risk of Smart Grid System in Big Data Age

2014 ◽  
Vol 494-495 ◽  
pp. 1743-1746 ◽  
Author(s):  
Jing Min Wang ◽  
Maimaitiaili Wufuer ◽  
Xiao Fan Guo
Keyword(s):  
Big Data ◽  
Demand Forecasting ◽  
Electricity Consumption ◽  
Heterogeneous Data ◽  
Customer Complaint ◽  
Internet Finance ◽  
Smart Grid System ◽  
Operation Risk ◽  
Smart Gird ◽  
Big Data Technology

With the coming of big data age, Internet, finance and other industries have launched in-depth studies on big data technology. They hope to grasp the opportunities that big data brings to enterprises. Smart gird construction generated massive and heterogeneous data in the process of electricity generation, electricity transmission and electricity consumption, thus electricity big data took shape. Based on the analysis of Big Data characteristics of Smart gird user-side, this paper describes the risks that big data reduces on smart gird user-side from the perspectives of demand forecasting, customer complaint and operation risk that grid peak valley load brings. Meanwhile, it also expounds the risks that big data brings to Smart gird user-side from the perspectives of technology and user information security. Hope to provide some relevant materials of the Smart gird user-side risk management for our country.

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology

scholarly journals Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera
Keyword(s):  
Big Data ◽  
Inclusive Education ◽  
Sustainable Development Goals ◽  
Sustainable Society ◽  
Education Students ◽  
The Sustainable Development ◽  
Research Goal ◽  
Development Goals ◽  
Nonprobability Sample ◽  
Big Data Technology

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.

scholarly journals Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology

2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Prevention And Control ◽  
And Control ◽  
Big Data Technology
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