数据挖掘在英语语言学教学与评价系统中的应用

Wei Zhang, Xue Wang
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引用次数: 0

摘要

基于粗糙集的数据挖掘算法在处理各种面向应用的问题中起着非常重要的作用。合适的算法可以快速准确地挖掘时间属性的核心,简化问题。本文根据英语语言学教学和评价体系的特点,从教学的角度对英语语言学的教学设计进行了优化。本文在系统功能语言学的框架下,对英语语篇中的评价资源进行了跟踪分析,并通过实例验证了该方法的可行性和有效性。利用数据挖掘算法解决了英语语言学教学和价格体系中的一些关键问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Data Mining in English Linguistics Teaching and Appraisal System
The data mining algorithm based on rough set plays a very important role in dealing with various application-oriented problems. The suitable algorithm can quickly and accurately mine the core of time attribute and simplify the problem. Based on the characteristics of the teaching and appraise system of English linguistics, this paper optimizes the teaching design of English Linguistics in terms of teaching. Under the framework of systemic functional linguistics, this paper makes a follow-up analysis of the appraise resources in English texts, and verifies the feasibility and effectiveness of this method through an example. Some key problems of English linguistics teaching and price system are solved by data mining algorithm.
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