scholarly journals The Conundrum of Talent Training of Industrial Big DataAnalysisin China's E-Commerce Talent Cultivating System

CONVERTER ◽  
2021 ◽  
pp. 80-83
Author(s):  
Rui Bai, Et al.
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Education System ◽  
Big Data Analysis ◽  
Structural Problem ◽  
Development History ◽  
Important Link ◽  
Industrial Big Data ◽  
History Of

With the development of information technology, Industrial Big Data Analysis (BDA) has become the most important link in China's E-commerce, but the development of BDA in China's E-commerce has been greatly restricted by talents. The main reason is that the specialty of Industrial BDA and the practicality of E-commerce are difficult to be well integrated in China's existing education system, which is due to the very special development history of E-commerce in China. The training of talents for E-commerce BDA has become a structural problem in China.

scholarly journals A Big Data-Based Data Mining Tool for Physical Education and Technical and Tactical Analysis

2019 ◽  
Vol 14 (22) ◽  
pp. 220 ◽  
Author(s):  
Lili Pan
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Physical Education ◽  
Big Data Analysis ◽  
Competitive Sports ◽  
Data Mining Tool ◽  
Research Findings ◽  
Mining Tool

This paper attempts to develop a data mining tool to guide sports training, promote physical education and facilitate technical and tactical analysis. For this purpose, information techniques like mathematical statistics and big data analysis were employed to collect and analyse the information on competitive sports. Based on database and computer algorithm, the author designed a data mining tool applicable to the information of various competitive sports. The proposed tool can mine out valuable information from the big data, enabling trainers to realize targeted and efficient physical education. The mined information also helps improve the analysis of techniques and tactics of competitive sports. The research findings promote the application of information technology in physical education and competitive sports.

scholarly journals Application of Big Data Analysis in Medical and Health Institutions in Chengdu

2021 ◽  
Vol 8 (7) ◽  
pp. 112-116
Author(s):  
Yundong Hao ◽  
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Data Processing ◽  
Medical Treatment ◽  
Processing Speed ◽  
Social Economy ◽  
Big Data Analysis ◽  
Medical Quality ◽  
Health Institutions

With the development of social economy, information technology is developing constantly, and the whole society has entered the era of big data. The era of big data is mainly manifested in the large amount of data, various types, low value density, and high requirements for data processing speed and timeliness. In the era of big data, we should extract data in time and effectively, so as to promote the development of various industries. As an institutional industry that plays an important role in the cure of human health diseases, medical and health institutions have begun to gradually use big data to play an important role in the management of people's diagnosis and treatment. Taking medical and health institutions in Chengdu as an example, this paper explores how to use big data analysis in medical and health institutions, so as to improve the efficiency of medical treatment and medical quality.

Insights into seismic hazard from big data analysis of ground motion simulations

2019 ◽  
Vol 9 (1) ◽  
pp. 01-12 ◽  
Author(s):  
Kristy F. Tiampo ◽  
Javad Kazemian ◽  
Hadi Ghofrani ◽  
Yelena Kropivnitskaya ◽  
Gero Michel
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Seismic Hazard ◽  
Ground Motion ◽  
Big Data Analysis ◽  
Ground Motion Simulations
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