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A Teaching Framework Based on Big Data of Students’ Learning Behaviors: A Case Study of Academic Performance Prediction Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Research on the Evaluation of Business English Teaching Model Under the Background of Big Data

Author : Yang Liu

Published in: Frontier Computing

Publisher: Springer Nature Singapore

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Abstract

Frequent set mining is a key step of association rule mining. This greatly determines the effectiveness of making relevant rules. In this paper, we introduce a rule extraction algorithm in E-commerce English, and introduce relevant rules using an improved search algorithm in identifying frequent users and page interest modes, which provides a basis for the personalized recommendation system model. This proves the application of the improved association rule algorithm in E-commerce English.

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previous chapter Application of Cloud Computing in Ceramic Art Design
next chapter Construction of Higher Vocational English Resource Database Based on Computer
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Metadata
Title
Research on the Evaluation of Business English Teaching Model Under the Background of Big Data
Author
Yang Liu
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Frontier Computing

Print ISBN: 978-981-9914-27-2

Electronic ISBN: 978-981-9914-28-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-1428-9_117