The Effect of Multimedia Teaching Model of Music Course in Colleges and Universities Based on Classroom Audio Data Mining Technology

2021 ◽  
Vol 7 (5) ◽  
pp. 4520-4531
Author(s):  
Fang Wang
Keyword(s):  
Data Mining ◽  
Visual Information ◽  
Rapid Development ◽  
Colleges And Universities ◽  
Mining Technology ◽  
Teaching Mode ◽  
Multimedia Teaching ◽  
College Music ◽  
Audio Data ◽  
Audio Files

Objectives: With the rapid development of information technology, multimedia teaching mode carries a large amount of audio-visual information, quickly occupies the music classroom in Colleges and universities, and becomes the mainstream teaching mode of music teaching in Colleges and universities. Methods: Based on this, this study uses classroom audio data mining technology to analyze the effect of multimedia teaching mode of music courses in Colleges and universities. The method of audio data mining is analyzed in college music multimedia classroom. The advanced embedded SOPC system is used to decode the MP3 audio files played in music courses by combining software and hardware. The performance of the multimedia teaching system in college music courses is optimized. Results: The hardware resources are made use of the flexibility of SOPC (System-on-a-Programmable-Chip) system. Reasonable allocation achieves the optimal design of teaching mode. Finally, the superiority of the algorithm is verified by testing. The test results show that the decoding speed and efficiency of audio files can be significantly improved by combining hardware and software. Conclusion: At the same time, the system has greater flexibility and expandable space, which can effectively promote the multimedia teaching effect of music courses in Colleges and universities. The research in this paper is helpful to the flexible transformation of multimedia teaching mode of music courses in Colleges and universities, and provides an important reference for the popularization of multimedia and the wide use of data mining technology in music courses in Colleges and universities.

scholarly journals Precise Position Intelligent Matching System of Online Recruitment Platform Based on Data Mining Technology

2021 ◽  
Vol 2066 (1) ◽  
pp. 012001
Author(s):  
Zhen Gao
Keyword(s):  
Data Mining ◽  
Rapid Development ◽  
Internet Technology ◽  
Job Seekers ◽  
Mining Technology ◽  
Position Information ◽  
Precise Position ◽  
Random Mass ◽  
Online Recruitment ◽  
Platform System

Abstract With the rapid development of Internet technology and computer technology, network applications have been developed more and more, and have penetrated into all walks of life in society. The emergence of the networking of the talent market has made the scale of online recruitment increase, and the amount of data on the Internet has become larger and larger, and online recruitment has become the main channel for corporate recruitment. Therefore, how to use the massive online recruitment data to quickly and accurately find the corresponding information and explore the hidden knowledge mode is a very valuable research topic. Data mining (DM) is a technology for data analysis for large amounts of data. It can discover hidden, hidden, and potentially useful knowledge hidden in the data from the vague, noisy, and random mass data, and build relevant Model, realize prediction, etc. The characteristics of data mining technology (DMT) are very suitable for the analysis of online recruitment information, research on large amounts of information, and find out the knowledge in it for decision support. This article aims to study the accurate job matching system of the online recruitment platform based on DMT. Based on the analysis of the advantages of online recruitment, related DMT and the design principles of the online recruitment platform system, the data collected by Weka DM tools are analyzed. Analyzing and getting useful job positions is just to provide job seekers and corporate-related recruiters with useful job information. The experimental results show that the online recruitment platform system can complete the collection of online recruitment position information, and can realize the DM function, which has good practical application value.

scholarly journals Research on the Mixed Teaching Mode of College English in the “Internet” Education Environment

2021 ◽  
Vol 236 ◽  
pp. 04002
Author(s):  
Yunhui Li
Keyword(s):  
Rapid Development ◽  
Colleges And Universities ◽  
The Internet ◽  
Financial Industry ◽  
Teaching Mode ◽  
College English ◽  
English Teaching ◽  
Internet Education ◽  
Education Environment ◽  
Education Industry

China has entered the 21st century, the Internet has entered an era of rapid development, especially in recent years, with the emergence of five G, China’s Internet development has entered a new journey, with the rapid development of the Internet, China’s various industries can not do without the Internet, whether real estate, financial industry or even education industry. In recent years, under the influence of the newly created “Internet” education model, the English teaching methods of major colleges and universities have also undergone great reform. A new teaching mode, which combines the means of past education and teaching with modern information network, makes teaching no longer restricted by time and space. This kind of teaching mode can not only improve students’ interest in learning, meet the needs of modern students, but also improve the quality of English teaching in colleges and universities. This paper further discusses the mixed teaching mode of college English under the environment of Internet education.

Study on Data Mining Techniques and Algorithms of Association Rules Data Mining

2014 ◽  
Vol 543-547 ◽  
pp. 2040-2044
Author(s):  
Yan Bo Wang
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Granular Computing ◽  
Rapid Development ◽  
System Structure ◽  
Data Set ◽  
Mining Technology ◽  
Technology System ◽  
Operation Process ◽  
Database Technology

With the rapid development of network and database technology, data need to be processed massively increased, how to carry out effective data mining is a serious problem. The mature development of granular computing algorithm provides new ideas and new methods to study for data mining. Association rules of granular computing can reduce the number of object scanning data set, and improve the efficiency of the algorithm. In this paper we introduce the data source, classification, technology, system structure, operation process, application in other areas of data mining technology. Based on association rules of granular computing, data mining technology can provide quantitative basis for enterprise in screening assessment, so the service object has a stronger competitive advantage and focus more on its problems.

Web Data Mining Technology on Cloud Computing

2014 ◽  
Vol 543-547 ◽  
pp. 3490-3493
Author(s):  
Yan Zhang
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Efficient Method ◽  
Rapid Development ◽  
Present Situation ◽  
Technology Research ◽  
Computing Technology ◽  
Web Data ◽  
Web Data Mining ◽  
Mining Technology

With the rapid development of cloud computing technology, the traditional centralized data mining technology becomes inappropriate for the growing huge amounts of data. Cloud computings Web data mining technology comes into use because it is a reliable and efficient method. This article introduces the meaning, characteristics, and the present situation of cloud computing, analyzes the advantage of Web data mining technology on the basis of the use of cloud computing technology, makes investigations and summaries of the present situation, challenges and problems of the current cloud computing Web data mining technology research, and puts forward the corresponding methods to solve these problems.

Logistics Enterprise Management Analysis of Basic Data Mining Technology

2014 ◽  
Vol 1079-1080 ◽  
pp. 1173-1176
Author(s):  
Yan Jun Hua ◽  
Lai Yan ◽  
Dang Hui
Keyword(s):  
Data Mining ◽  
Product Information ◽  
Rapid Development ◽  
Customer Relationships ◽  
Basic Data ◽  
Logistics Management ◽  
Enterprise Management ◽  
Mining Technology ◽  
Logistics Industry ◽  
Logistics Enterprise

With the development of global economy, logistics industry is gradually developing. Along with the rapid development of e-commerce, Third Party logistics suddenly emerges, which has promoted the development of logistics industry. With the development of logistics industry and information technology, traditional logistics management pattern has already not adapted to the need of modern logistics management. Faced with a lot of product information and customer relationships, new modes of information management must be established to improve the efficiency of management. This paper mainly discusses the application of basic data mining technology in the logistics enterprise management.

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