Improving The Quality Of Education Management With Big Data Processing Technology

2020 ◽  
Author(s):  
Ekaterina V. Bebenina
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Processing Technology ◽  
Quality Of Education ◽  
Big Data Processing ◽  
Education Management

Research of wireless network traffic analysis using big data processing technology

2021 ◽  
Author(s):  
Kovtsur Maxim ◽  
Kistruga Anton ◽  
Mikhailova Anastasiya ◽  
Potemkin Pavel ◽  
Volkogonov Vladimir
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Wireless Network ◽  
Network Traffic ◽  
Traffic Analysis ◽  
Processing Technology ◽  
Big Data Processing ◽  
Network Traffic Analysis

A cognitive approach to improving the quality of the customs authorities' analytic activities

2020 ◽  
Vol 19 (3) ◽  
pp. 416-429
Author(s):  
V.V. Makrusev ◽  
A.A. Sobol'
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Processing ◽  
Cognitive Modeling ◽  
Cognitive Approach ◽  
Systems Methodology ◽  
Big Data Processing ◽  
Acceptable Method ◽  
Analytical Tools

Subject. The article considers prospects for enhancing the quality of analytical activities of the Customs authorities through a cognitive approach implementation. Objectives. The aim is to formulate promising areas for improving the quality of analytical work of the Customs authorities by using a cognitive approach, to develop a concept for managing the analytical activities based on knowledge. Methods. The study rests on systems methodology and institutional theory. It also employs cognitive modeling techniques. Results. We show the process of transferring disparate data into knowledge, consider basic methods of big data processing, and identify the most acceptable method of customs data analysis. The paper discloses the contents and elements of the cognitive approach in analytical activities of on-line monitoring centers and describes an experiment with the application of data mining technology on the basis of the Federal Customs Service of Russia. We recommend the said approach to analytical and ICT units of organizations operating in the field of customs services. Conclusions. Current trends in software development, the use of electronic forms of customs documents, and continuously expanded list of analytical tools for big data processing entail the need for changing traditional approaches to information analysis to assess customs risks. The expert method should be supplemented with new, previously unused decision support tools, such as tools that enable automated big data analysis.

Big data processing technology in a distributed information system

2021 ◽  
Vol 143 (2) ◽  
pp. 272-278
Author(s):  
S. K. Serikbayeva ◽  
◽  
J. A. Tussupov ◽  
M. A. Sambetbayeva ◽  
◽  
...  
Keyword(s):  
Information System ◽  
Big Data ◽  
Data Processing ◽  
Processing Technology ◽  
Big Data Processing ◽  
Distributed Information System ◽  
Distributed Information

scholarly journals Application Strategy of Big Data Processing Technology in Intelligent Transportation

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Yaohua Xie ◽  
Xin Zhou
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Processing Technology ◽  
Internet Technology ◽  
Big Data Processing ◽  
Artificial Intelligence Technology

With the rapid development of China’s society and economy, the process of urbanization has been accelerated, and the transportation system has become more complicated, especially the frequent occurrence of traffic accidents, traffic congestions, and environmental pollution. In the context of the rapid development of Internet technology, digital technology, artificial intelligence technology, etc. We apply them to traffic management as effective ways to improve China’s traffic operation management. Based on big data processing technology, this paper discusses its application strategy in intelligent transportation, in hope of serving as a reference.

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