scholarly journals Research on the Communication Transformation and Its Risk Prevention Method in the Background of Big Data

2021 ◽  
Vol 2136 (1) ◽  
pp. 012041
Author(s):  
Haoyang Zhu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Risk Prevention ◽  
The Core ◽  
Practical Development ◽  
The Subject ◽  
Prevention Method ◽  
Streaming Big Data ◽  
Big Data Technology

Abstract The communication based on big data technology is an organized communication form built with data and algorithms as the core, which has a very serious risk of liquefaction in the practical development. Therefore, based on the understanding of the transformation of communication ontology and the uncertainty of the subject under the background of big data technology, this paper studies and analyzes the risk prevention countermeasures based on streaming big data analysis according to the alienated risks it presents.

Design of Computer Multimedia Intelligent Platform Using Big Data Analysis

2022 ◽  
Author(s):  
Zhenna Chen
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Multimedia Information ◽  
Real Time ◽  
Data Storage ◽  
Big Data Analysis ◽  
Intelligent Vehicle ◽  
Time Data ◽  
Vehicle Operation ◽  
Big Data Technology

This exploration aims to transfer, process and store multimedia information timely, accurately and comprehensively through computer comprehensive technology processing, and organically combine various elements under the background of big data analysis, so as to form a complete intelligent platform design for multimedia information processing and application. In this exploration, the intelligent vehicle monitoring system is taken as an example. Data acquisition, data transmission, real-time data processing, data storage and data application are realized through the real-time data stream processing framework of [Formula: see text] of big data technology. Data interaction is realized through Spring, Spring MVC, VUE front-end framework, and Ajax asynchronous communication local update technology. Data storage is achieved through Red is cache database, and intelligent vehicle operation supervision system is achieved through multimedia information technology processing. Its purpose is to manage the vehicle information, real-time monitor the running state of the vehicle and give an alarm when there are some problems. The basic functions of vehicle operation monitoring and management system based on big data analysis are realized. The research on the design of vehicle operation monitoring and management system based on big data analysis shows that big data technology can be applied to the design of computer multimedia intelligent platform, and provides a reference case for the development of computer multimedia intelligent platform based on big data analysis.

scholarly journals Research on the Changing Trend of Employment-Relevant Terms Based on Internet Big Data Analysis

2021 ◽  
Vol 251 ◽  
pp. 01050
Author(s):  
Yang Wei
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Research Result ◽  
Big Data Analysis ◽  
Inverse Document Frequency ◽  
Teaching Administration ◽  
Employment Skills ◽  
Document Frequency ◽  
Changing Trend ◽  
Big Data Technology

With publicly-available data collected from mainstream information platforms, this study used the term frequency inverse document frequency (TF-IDF) algorithm to detect 74 popular terms and phrases about employment, analyzed the changes in the ranking of these terms and phrases, and visualized the changing trend in the attention to employment skills from 2017 to 2019. The research result will facilitate application of big data technology to teaching administration in colleges, and provide a guide for college students to plan their study of vocational skills.

scholarly journals Copying and Recreation Methods of Painting Works Relying on Mobile Digital Multimedia Big Data Analysis

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Li Xue ◽  
Chuangjian Yang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Image Coding ◽  
Feature Recognition ◽  
Big Data Analysis ◽  
Simulation Methods ◽  
Multimedia Big Data ◽  
Digital Multimedia ◽  
Processing Module ◽  
Big Data Technology

In order to improve the effect of copying and recreation of painting works, this paper combines mobile digital multimedia big data technology to improve the image coding algorithm, identify the characteristics of existing works, apply the algorithm to the detailed analysis of painting works, and construct the main functional structure modules of the system. Moreover, this paper combines the existing hardware equipment to construct the painting works’ recreation system and obtains the image processing module. After the system is constructed, the effect of copying and recreating painting works is analyzed through the mobile digital multimedia big data analysis technology. Finally, this paper constructs the system of this paper through simulation methods and uses experiments to calculate the feature recognition effect and copy effect of the painting works of the system. Through experimental analysis, it can be known that the copying and recreation system of painting works based on mobile digital multimedia big data analysis proposed in this paper can help painters effectively improve the effect of recreation.

scholarly journals The Research Fronts of Financial Market Risk Prevention in the Background of Big Data Analysis: Scientific Measurement Analysis from Multidisciplinary Literature

2020 ◽  
Vol 214 ◽  
pp. 01007
Author(s):  
Chung-Lien Pan ◽  
Zizhen Chen ◽  
Xiaobing Zhou ◽  
Jingjing Qiu ◽  
Ying Zhou
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Market ◽  
Research Direction ◽  
Early Warning Systems ◽  
Market Risk ◽  
Big Data Analysis ◽  
Risk Prevention ◽  
Research Fronts ◽  
Financial Market Risk

Risks are ubiquitous in financial markets, and the occurrence of financial crises has never stopped. In order to provide research fronts for financial market risk prevention in the context of big data analysis, this article is based on 556 articles retrieved from the Web of Science database. Keywords such as “big data” and “development of emerging capital markets” were comprehensively analyzed and visualized. The four key visualization legends were used to obtain the status and impact of the utilization of major institutions and big data resources. The focus of research lies in the research of crisis contagion and the development of early warning systems. In addition, this article also outlines the gaps in the overall research direction of academia on financial market risk prevention.

scholarly journals Research on Influencing Factors of Export Complexity of Chinese High-tech Industry Based on Big Data Analysis

2021 ◽  
Vol 235 ◽  
pp. 03013
Author(s):  
Junsheng Wang ◽  
Zhong Ziqi ◽  
Haoran Wang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Rapid Development ◽  
Big Data Analysis ◽  
High Tech ◽  
Industrial Agglomeration ◽  
High Tech Industry ◽  
Technical Content ◽  
Big Data Technology

Export trade can measure the economic level of a country, but it can only reflect the amount of exports, but not the quality of exported products and the technical content of exported products. Therefore, domestic and foreign scholars have begun to study the complexity of export technology. The development of big data technology makes it possible to analyze the export complexity using big data analysis technology. With the rapid development of high-tech industries represented by high-end manufacturing, there is more and more research on the export of high-tech industries. Based on the existing research results, this article first introduces the current export profile of high-tech products and explains the concept of export complexity. Then, the flow of big data analysis was sorted out. Finally, this paper theoretically analyzes the influence of industrial agglomeration on industrial export complexity, and uses big data analysis and regression verification. The results show that industrial agglomeration has a significant role in promoting the export complexity of China’s high-tech products.

scholarly journals Internet Financial Risk Early Warning Based on Big Data Analysis

2021 ◽  
pp. 48-60
Author(s):  
Noura Metawa ◽  
◽  
◽  
Saad Metawa
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Prediction Accuracy ◽  
Financial Risk ◽  
Big Data Analysis ◽  
Risk Prevention ◽  
Supervision System ◽  
Finance Industry ◽  
Risk Warning ◽  
Internet Finance

Internet financial risk prevention is an important area for financial risk prevention. In recent years, a series of vicious high-risk events, such as cash lending and P2P platform running, have caused a great negative impact on the reputation of the Internet financial industry, which has aroused great concern from all walks of life. Based on big data analysis technology, this paper constructs an improved algorithm model, and carries out high-precision risk warning for China's Internet financial risk. The forecast data is basically consistent with the actual situation, and the prediction accuracy reaches 90%. It can be seen that the improved model based on the decision tree algorithm has higher prediction accuracy for Internet financial risk warning. This paper systematically sorts out the risks of China's Internet finance from two dimensions: risk type and main risk. And pointed out that the current Internet finance industry in China has a large overall compliance risk, and insufficient infrastructure construction leads to fraud risks. Separate industry supervision has a regulatory vacuum, arbitrage risks are more obvious, and China's financial consumer quality is not high, Internet financial institutions Improper exemption is risky. On this basis, it is proposed to speed up the construction of a multi-integrated Internet financial risk prevention system including the internal risk control system, the industry association self-discipline system, the government administrative supervision system and the effective social supervision system.

scholarly journals Overview of Construction and Application of Big Data Analysis Platform

2021 ◽  
Vol 4 (6) ◽  
Author(s):  
Difei Zhang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Resource Sharing ◽  
Data Exchange ◽  
Big Data Analysis ◽  
Time Data ◽  
Data Platform ◽  
Complete Data Analysis ◽  
Analysis Platform ◽  
Big Data Technology

Big data technology is widely spread around the world, and is constantly developing and applying. In order to enhance the application value of big data analysis platform, it is necessary to constantly improve the data analysis and processing capacity of big data platform, so as to build a complete data analysis platform, realize resource sharing and real-time data collection. As a key point of contemporary information development, big data analysis platform is of great significance to promote social data exchange. Based on this, this paper focuses on two aspects: first, it describes the construction process and content of big data platform; second, it summarizes the relevant application and development of big data platform for reference.

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