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Application Structure Computer Big Data Technology in Internet Learning
Author(s) -
Xuliang Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1982/1/012194
Subject(s) - the internet , computer science , big data , preprocessor , artificial intelligence , data pre processing , multimedia , world wide web , machine learning , data mining
The establishment of online learning platform through the Internet is a more popular way of learning. However, the existing Internet learning platform is still not intelligent enough, especially in data integration and analysis. Therefore, this paper proposes the application and research of computer BD(Big Data) based on structure in Internet learning. In this paper, the structure of computer BD and Internet learning methods for in-depth research and analysis, the existing problems in the Internet learning, combined with structural computer BDAT(Big Data Analysis Technology), established a new Internet learning BD analysis method. In view of the complex source of Internet learning data and large amount of invalid information, this paper optimizes and improves the traditional BD analysis data preprocessing method according to the characteristics of Internet students’ learning. Through the optimization and improvement of the method in this paper, the data analysis ability of the system is improved. In order to further verify the practical application effect of structural computer BD in Internet learning, this paper takes the freshmen of computer major of grade 2018 in a university as the research object of this experiment and carries out relevant investigation and research. According to the survey, 90.3% of students think that BD analysis can improve their mastery of knowledge in online learning. The analysis shows that the structure-based computer BD plays a good auxiliary role in students’ Internet learning.

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