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Published in: Cluster Computing 2/2019

19-03-2018

CET-4 score analysis based on data mining technology

Authors: Jie Xu, Yang Liu

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

The use of data mining technology to analyze college students’ scores can effectively analyze and deal with the data of grades, so as to improve the working time limitation of the education administrators and help them to adjust education decision instantly. Using data mining techniques to analyze CET-4 grades, we can find the rules or patterns hidden in the grade data and mine the multiple relationships hidden in the grade data. This article focuses on the association rules and classification techniques, Apriori algorithm and decision tree in association rules applied to college students CET-4 score analysis to mining and analysis of the final scores of college English in four semesters and CET-4 scores relevance and the influence of CET-4 exam four parts (listening, reading, writing and synthesis) on the total score of CET-4, to provide policy makers with decision-making data to further improve college English teaching.

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Metadata
Title
CET-4 score analysis based on data mining technology
Authors
Jie Xu
Yang Liu
Publication date
19-03-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2208-x

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