Application and Analysis of Big Data Technology in the University Auditing

Objectives: With the arrival of the era of big data, the use of cloud computing technology has the characteristics of large capacity, variety and speed. Big data makes the teaching of financial accounting more convenient and efficient. Methods: It is an effective way to realize the goal of modernization of education in China by paying attention to the development and application of the reform of accounting teaching in Universities under the educational technology of big data. Results: This paper from the transformation of the university accounting education concept, in the era of big data under the background of accounting education in Colleges and universities how to give full play to the advantages of cloud computing, cloud platform construction of accounting education, then explore the reform of accounting education mode of. Conclusion: Therefore, this paper from the perspective of big data technology background, starting from the reform of the teaching mode of accounting and accounting industry background, considering the direction from the accounting personnel training, put forward the corresponding countermeasures for accounting teaching methods and teaching contents, promoting college accounting teaching reform.

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

Intelligent Automation & Soft Computing ◽

10.31209/2019.100000111 ◽

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

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Using Big Data Technology For Prediction Of Quiz Difficulty Level In E-learning Systems

10.34279/0923-008-004-014 ◽

2018 ◽

pp. 176

Author(s):

Hiba A. Abu Alsaad ◽

Rana Riad K. Al Taie

Keyword(s):

Big Data ◽

Learning Systems ◽

Difficulty Level ◽

E Learning ◽

Big Data Technology

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

Sustainability ◽

10.3390/su12135470 ◽

2020 ◽

Vol 12 (13) ◽

pp. 5470 ◽

Cited By ~ 2

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.

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Big Data in the Field of Civil Security Research

International Journal of Agricultural and Environmental Information Systems ◽

10.4018/ijaeis.2016010104 ◽

2016 ◽

Vol 7 (1) ◽

pp. 54-64 ◽

Cited By ~ 1

Author(s):

Julia Gonschorek ◽

Anja Langer ◽

Benjamin Bernhardt ◽

Caroline Räbiger

Keyword(s):

Big Data ◽

Temporal Distribution ◽

Tactical Planning ◽

Fire Departments ◽

Prevention Measures ◽

Scientific Contribution ◽

Security Research ◽

Geovisual Analytics ◽

The University ◽

Selection Of

This article gives insight in a running dissertation at the University in Potsdam. Point of discussion is the spatial and temporal distribution of emergencies of German fire brigades that have not sufficiently been scientifically examined. The challenge is seen in Big Data: enormous amounts of data that exist now (or can be collected in the future) and whose variables are linked to one another. These analyses and visualizations can form a basis for strategic, operational and tactical planning, as well as prevention measures. The user-centered (geo-) visualization of fire brigade data accessible to the general public is a scientific contribution to the research topic 'geovisual analytics and geographical profiling'. It may supplement antiquated methods such as the so-called pinmaps as well as the areas of engagement that are freehand constructions in GIS. Considering police work, there are already numerous scientific projects, publications, and software solutions designed to meet the specific requirements of Crime Analysis and Crime Mapping. By adapting and extending these methods and techniques, civil security research can be tailored to the needs of fire departments. In this paper, a selection of appropriate visualization methods will be presented and discussed.

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