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Research on the Core Technology of Education Big Data Based on Data Mining

机译:基于数据挖掘的教育大数据核心技术研究

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In recent years, big data technology has made amazing achievements in the field of education, which has also aroused the attention of scholars on the application of data mining technology in education big data. However, the technology is still in the primary stage, and there are still many deficiencies. Therefore, this paper proposes the core technology research of education big data based on data mining. This paper makes an in-depth investigation and Research on the current management mode of education big data. Through the survey, it is a mainstream trend to adopt data mining technology to manage education big data. However, due to the immature technology, there are still some technical defects in the existing management, such as inaccurate prediction and incomplete data collection. In view of these shortcomings, this paper proposes an optimization and improvement scheme, which adjusts the data normalization processing method, optimizes the data clustering method, improves the prediction accuracy and simplifies the calculation steps. In the related verification experiments, compared with the traditional random recommendation algorithm and collaborative filtering algorithm, the prediction accuracy of the improved scheme has been improved, reaching a high level of 99.2%. This paper analyzes that the education big data management scheme based on data mining will play an important role in the future education management.
机译:近年来,大数据技术在教育领域取得了惊人的成就,也引起了学者注意到数据挖掘技术在教育大数据中的应用。但是,该技术仍处于初级阶段,仍存在许多缺陷。因此,本文提出了基于数据挖掘教育大数据的核心技术研究。本文对当前管理教育模式大数据进行了深入的调查和研究。通过调查,采用数据挖掘技术管理教育大数据是一种主流趋势。然而,由于技术不成熟,现有管理中仍存在一些技术缺陷,例如不准确的预测和不完整的数据收集。鉴于这些缺点,本文提出了一种优化和改进方案,调整数据归一化处理方法,优化数据聚类方法,提高预测精度并简化计算步骤。在相关验证实验中,与传统的随机推荐算法和协作滤波算法相比,改进了改进方案的预测精度,提高了99.2%的高水平。本文分析了基于数据挖掘的教育大数据管理方案将在未来的教育管理中发挥重要作用。

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