数据挖掘是一项重要的数据处理技术,它可以帮助我们从大量看似无关联、随机的数据发现其背后的有用信息和存在的规律。通过数据挖掘,可以帮助决策者更好做出科学决策,预测未来发展趋势,是一项重要的数据处理技术。当今,英语过程性评价存在着相对较多的问题,影响英语评价的可信度和作用性。于是利用数据挖掘解决英语过程评价成为解决这一问题的重要手段,本文针对当前英语过程性评价现状进行分析总结,通过将老师在过程性评价得出的结果运用数据挖掘技术进行分析,再与教师最后评价成绩进行综合对比,判断教师英语过程性评价是否科学合理,从而提出运用数据挖掘解决过程性评价的客观性问题,促进未来科学合理进行英语过程性评价。 Data mining is an important data-processing technique that helps us discover the useful information and rules behind a large amount of seemingly unrelated and random data. Data mining can help decision makers make better scientific decisions and predict future trends. It is an important data processing technology. Nowadays, there are relatively many problems in procedural evaluation of English, affecting the credibility and function of English evaluation. Therefore, the use of data mining to solve the English process evaluation has become an important means to solve this problem. In this paper, we analyze and summarize the current situation of English process evaluation. By analyzing the result of the process evaluation using data mining technology, Finally, we can make a comprehensive comparison of the final evaluation scores to determine whether the teachers’ procedural evaluation of English is scientific and reasonable. Therefore, we propose to use data mining to solve the objectivity of procedural evaluation and to promote the scientific process of evaluation of English scientific and reasonable in the future.