Construction of Data Mining Analysis Model in English Teaching Based on Apriori Association Rule Algorithm

Abstract

How to create an English data mining analysis model based on prior association strategy algorithm is learned. First, the basic principles of data mining and organizational strategy are investigated, and the cooperative strategy algorithm in data mining technology is studied. This document makes a comprehensive analysis of the classical Apriori algorithm and studies the extension of organizational strategy and the technique of deleting participation strategy after decision-making. Then, the application of Apriori algorithm in instruction management is analyzed. There is often a lot of information in command management. We need to collect the data, then sort, and review it. Finally, taking the two adults' classes, class (39) and class (40) as the research objects, of which class (39) has 41 people and class (40) has 43 people. The two classes were brought to the board of directors. The results showed that over the course of 4 months, the students scored better on the mixed tests in the lab than those in the control room. The average score of the subjects before the experiment was 17.6, the average score of the subjects after the experiment was 20.1, and the significant P value of the corresponding t-test was p ≤ 0.001 , less than 0.05, indicating significant differences between the two groups of data. After studying data using writing styles in class, students focused more on complex patterns, concepts, technical expressions, and line patterns. Dynamic assessment of student writing is an effort to improve student writing by using interactive assessment techniques.