scholarly journals Research on the Application of Computer Technology in the Field of Art under Big Data

2021 ◽  
Vol 1883 (1) ◽  
pp. 012004
Author(s):  
Xuelin Zhang
Keyword(s):  
Big Data ◽  
Computer Technology

scholarly journals Based on the Software Complexity Measurement of Complex Networks under Big Data Technology

2021 ◽  
Vol 2066 (1) ◽  
pp. 012014
Author(s):  
Xiaobin Hong
Keyword(s):  
Big Data ◽  
Complex Networks ◽  
Computer Technology ◽  
Software Complexity ◽  
Internal Network ◽  
External Threat ◽  
Potential Risks ◽  
Complex Construction ◽  
The Times ◽  
Big Data Technology

Abstract With the development of the times, computer technology is booming, so the network is becoming more and more complex, software design is becoming more and more complex, because of the protection against a variety of internal or external risks. The internal risk is that the traffic carried by the system is too large to cause the system to crash or the system to crash caused by the code operation error, and the external threat is that hackers use computer technology to break into the system according to security vulnerabilities, so the purpose of this paper is based on big data technology, the software complexity of complex networks is measured and studied. With the consent of the school, we used the school’s internal network data, and after consulting the literature on the complex construction and analysis of complex networks and software, modeled and analyzed it using the improved particle group algorithm. The experimental results show that there is a certain correlation between complex network and software complexity. Because complex networks determine that software requires complex construction to withstand potential risks to keep the software running properly.

Big Data Literacy

Big Data ◽  
2016 ◽  
pp. 2300-2315
Author(s):  
Dimitar Christozov ◽  
Stefka Toleva-Stoimenova
Keyword(s):  
Big Data ◽  
Digital Divide ◽  
Computer Technology ◽  
Human Society ◽  
Data Literacy ◽  
Learning From Data ◽  
New Challenges

The chapter addresses the problems of digital divide in the light of learning from data in the era of accumulated, available, and accessible Big Data. The phenomenon of Big Data arose in the last years and offered new dimensions of digital divide: the challenge that the human society faces since the appearance of computer technology. Objectives of this chapter are to highlight problems and barriers in learning from Big Data and to initiate discussion on the ways to overcome those new challenges. The chapter tries to define the “Big Data Phenomenon,” to identify the phases and activities in the process of learning from data, and to relate them to learning from Big Data. As a result, a paradigm of competences and barriers for acquiring Big Data literacy are proposed as a new dimension of literacy in dividing the human society.

Democracy, Planning, and Big Data

2020 ◽  
pp. 28-41
Author(s):  
Kees Van der Pijl
Keyword(s):  
Big Data ◽  
Communication Networks ◽  
Computer Technology ◽  
Knowledge Economy ◽  
Digital Communication ◽  
The Internet ◽  
Information Revolution ◽  
The Social ◽  
Digital Communication Networks

Starting in the late 1960s, the development of the productive forces of society entered a new stage: the Information Revolution, an era focused on the application of information theories such as cybernetics combined with advances in computer technology and digital communication networks, culminating in the Internet. Under capitalist conditions, this has already resulted in a knowledge economy, but the social, auto-regulatory possibilities it opens up are bound to be incompatible with the private appropriation characteristic of capitalism.

scholarly journals Strategies for the Application of Computer Software Technology in Big Data

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Zhengxuan Li
Keyword(s):  
Big Data ◽  
Computer Technology ◽  
Rapid Development ◽  
Computer Software ◽  
Development Trend ◽  
Developed Countries ◽  
Current Situation ◽  
Software Technology ◽  
The Development Trend

The rapid development of computer software technology has a significant impact on China. However, compared with developed countries, the development of computer software technology in China is still quite different, and it is necessary to explore and research computer technology continuously. This paper analyzes the current situation of computer software technology and the development trend of big data, explains the related techniques of computing and big data, and how to apply computer technology to big data.

Design and Implementation of Facial Sketch System Based on Cloud Computing Platform and Big Data

2014 ◽  
Vol 651-653 ◽  
pp. 2028-2031
Author(s):  
Yan Jun An ◽  
Yue Hou
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Success Rate ◽  
Computer Technology ◽  
Criminal Investigation ◽  
Computing Platform ◽  
Design And Implementation ◽  
Drawing System ◽  
Cloud Computing Platform ◽  
Search And Recognition

At present, the facial recognition is largely using in the criminal investigation for the identification of suspects, the information from the informants, however, is very hard to obtain the main feature and to draw it accurately because of the affection of mood, light, visual differences and so on. However, with some computer technology, combining the resource from big data and cloud computing platform, the success rate of the search and recognition could be greatly improved. Therefore this article will bring out a facial drawing system based on big data and cloud computing platform.

Big Data Literacy

2015 ◽  
pp. 156-171 ◽  
Author(s):  
Dimitar Christozov ◽  
Stefka Toleva-Stoimenova
Keyword(s):  
Big Data ◽  
Digital Divide ◽  
Computer Technology ◽  
Human Society ◽  
Data Literacy ◽  
Learning From Data ◽  
New Challenges

The chapter addresses the problems of digital divide in the light of learning from data in the era of accumulated, available, and accessible Big Data. The phenomenon of Big Data arose in the last years and offered new dimensions of digital divide: the challenge that the human society faces since the appearance of computer technology. Objectives of this chapter are to highlight problems and barriers in learning from Big Data and to initiate discussion on the ways to overcome those new challenges. The chapter tries to define the “Big Data Phenomenon,” to identify the phases and activities in the process of learning from data, and to relate them to learning from Big Data. As a result, a paradigm of competences and barriers for acquiring Big Data literacy are proposed as a new dimension of literacy in dividing the human society.

scholarly journals Application of Computer Technology in Life under the Background of Big Data

2021 ◽  
Vol 1881 (3) ◽  
pp. 032068
Author(s):  
Ziqiang Ma ◽  
Guidong Zhang ◽  
Danni Wei
Keyword(s):  
Big Data ◽  
Computer Technology

scholarly journals On E-Commerce Precision Marketing Strategy Based on Big Data

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Yushui Xiao ◽  
Feng Ling
Keyword(s):  
Big Data ◽  
Marketing Strategy ◽  
Computer Technology ◽  
Market Competition ◽  
Rapid Development ◽  
Internet Technology ◽  
Purchasing Power ◽  
Current Development ◽  
Online Sales ◽  
Sales Model

Nowadays, Internet technology has been developed to a higher level, and has also gained more and more popularity in people's life and work. Internet technology has penetrated into many fields, providing more convenience for people. Judging from the current development momentum of China's e-commerce industry, fierce market competition and increasingly picky demand of customers, coupled with the gradual formation of online sales model, have all made the existing e-commerce industry face greater challenges, as well as opportunities worth taking advantage of. At present, relying on the rapid development of Internet and computer technology, the concept of "big data" has been popularized. Under the background of big data, every industry has undergone changes and improvement, especially the e-commerce industry, which can more accurately determine the consumers' consumption needs and habits, and can further understand their purchasing power, thus realizing accurate marketing, and strengthening its marketing reliability and pertinence.

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