scholarly journals Prediction of College Employment Rate Based on Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xuhui Dong
Keyword(s):  
Big Data ◽  
Prediction Model ◽  
Fog Computing ◽  
Colleges And Universities ◽  
Edge Computing ◽  
Hunan Province ◽  
Employment Rate ◽  
Network Cluster ◽  
The Individual ◽  
Big Data Technology

This paper uses big data technology to predict the employment rate of colleges and universities. In this paper, combined with the current rental price, daily life consumption, and college students’ personal interests and hobbies consumption and other indicators, the individual is simulated by big data, and the individual is associated by using the AI-driven edge fog computing service optimization algorithm to form a cluster, so as to realize the prediction from element to neural network cluster by using edge computing. In addition, this paper takes the employment data of colleges and universities in Hunan province from June 2020 to May 2021 as the research sample to test the prediction model and makes a comparative analysis with the CNN model and LSTM model. The edge fog computing model in this paper has more analytical indexes as tuples compared to the CNN model, so the results show that the prediction accuracy can reach 83.25%. In this case, there is little difference between the two models of data processing and predictive efficiency. Compared with the LSTM based classification prediction model, this model is edge computing, which greatly improves the data quality of model and data parameters, and the calculation efficiency can be increased by 45%–65%. Therefore, the use of big data technology can provide a reference for the research direction of higher education.

scholarly journals Research on the Role of Big Data Technology in the Reform of English Teaching in Universities

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaoge Jia
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Research Method ◽  
Colleges And Universities ◽  
Teaching Activities ◽  
English Teaching ◽  
Comprehensive Development ◽  
Technology And Teaching ◽  
Big Data Technology

This paper provides an in-depth understanding and analysis of the reform of English teaching in colleges and universities by analyzing the role of big data technology for the reform through in-depth research and analysis. Based on the background of the era of education informatization, this study explores the transformative value of the integration of information technology and teaching activities and elaborates the relevant significance at the theoretical and practical levels. Based on this, the research method of this study is established. The realm of integration of information technology and teaching activities and its transformative value is taken as the focus of the study. The integration of information technology and teaching activities means that it is not only a simple superposition between information technology and teaching but also a process to explore the role and influence of information technology into teaching activities by deeply exploring the inner connection between the two, to complete the integration of information technology and teaching activities, and finally to realize the comprehensive development of student’s personality.

scholarly journals Challenges of Credit Reference Based on Big Data Technology in China

2021 ◽  
Author(s):  
Cheng-yong Liu ◽  
Chih-Chun Hou
Keyword(s):  
Big Data ◽  
Information Security ◽  
Secure Communication ◽  
Distributed Storage ◽  
Blockchain Technology ◽  
Financial Credit ◽  
Credit Data ◽  
Point To Point ◽  
The Individual ◽  
Big Data Technology

AbstractBig data-based credit reference system gradually attracts wide attention due to its ad-vantages in remedying the shortages of traditional credit reference and dealing with new challenges arising from financial credit management. Nevertheless, this new method is also adapted through different studies and experiments to be problematic with island of credit information and information security. Some researchers begin exploring the possibility of applying blockchain technology to the individual credit reference field. The business links in the individual credit reference can be innovated through the blockchain mechanism so that credit data from different industries get collected through peering points, secure communication and anonymous protection on the basis of such techniques as distributed storage, point-to-point transmission, consensus mechanism and encryption algorithm. In this way, it is feasible to solve island of information and enhance the protection of user information security. A promising future can be expected about the big data-based credit reference, but there are also many problems with blockchain-based credit reference in China.

scholarly journals Analysis on the Training Strategies of University Library Service Talents under the Concept of "Three-all Education" in the New Era

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Yingli Lu
Keyword(s):  
Big Data ◽  
Colleges And Universities ◽  
Practical Significance ◽  
Staff Education ◽  
Library Service ◽  
New Era ◽  
Service Personnel ◽  
Educational Concept ◽  
College Library ◽  
Big Data Technology

Embracing the challenge and mission of the new era, colleges and universities, as an important battle filed for cultivation of talents, should be guided by the educational concept of "Three-all Education", to train and transport outstanding talents for the country. Based on the concept of "Three-all Education" and centering on the innovative ability of college library service personnel training, this paper utilizes big data technology and means to realize the idea of "all-process education, all-staff education and all-round education", and explores the cultivation strategies for college library service personnel, which not only meets the urgent needs of college reform and development. It is also of great practical significance to cultivate young talents in the new era.

scholarly journals Study on real-time prediction model of railway passenger flow based on big data technology

2022 ◽  
Vol 355 ◽  
pp. 02025
Author(s):  
Yiyi Yin ◽  
Yong Zhang ◽  
Zhengzheng Wei ◽  
Xiang Zhao
Keyword(s):  
Big Data ◽  
Prediction Model ◽  
Real Time ◽  
Time Data ◽  
Message Queue ◽  
Passenger Flow ◽  
Time Prediction ◽  
Real Time Data ◽  
Railway Passenger ◽  
Big Data Technology

In order to solve the limitation of traditional offline forecasting application scenarios, the author uses a variety of big data open source frameworks and tools to combine with railway real-time data, and proposes a real-time prediction model of railway passenger flow. The model architecture is divided into four levels from bottom to top: data source layer, data transmission layer, prediction calculation layer and application layer. The main components of the model are data flow and prediction flow. Through message queue and ETL, the data process part realizes the synchronization of offline data and real-time data; through the big data technology frameworks such as Spark, Redis and Hive and the GBDT (Gradient Boosting Tree) algorithm, the prediction process partially realizes the real-time passenger flow of the train OD section prediction. The experimental results show that the model proposed by the author has certain practicability and accuracy both in performance and prediction accuracy.

scholarly journals Application of Big Data Technology in College Information Construction

2019 ◽  
Vol 25 ◽  
pp. 04005
Author(s):  
Wei Deng
Keyword(s):  
Big Data ◽  
Colleges And Universities ◽  
Typical Application ◽  
Information Construction ◽  
College Information ◽  
Normal University ◽  
Technological Means ◽  
Big Data Technology

As a new technological means, big data plays an important role in the construction of intelligent campus in Colleges and universities. Taking Shaanxi Normal University as an example, this paper introduces the development of college information construction, and elaborates on the typical application scenarios of big data in colleges.

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