School of Political and Public Management, Zhengzhou University, Zhengzhou, Henan 450000, China.
Comput Intell Neurosci. 2021 Dec 20;2021:9056947. doi: 10.1155/2021/9056947. eCollection 2021.
Based on data mining technology, this paper applies a combination of theoretical and practical approaches to systematically describe the background and basic concepts related to the generation of data mining-related technologies. The classical data mining process is analyzed in depth and in detail, and the method of building a decision support system for education management based on the B/S model is studied. Not only are the data mining techniques applied to this system, but also the decision tree model with the improved ID3 algorithm is implemented in this thesis, which is further applied to the educational management decision support system of this topic. The load of the client computer is reduced, and the client computer only needs to run a small part of the program. This paper focuses on the following aspects: the overall planning of the educational management decision support system based on data mining technology. From the actual educational management work, we analyze the requirements and design each functional module of this system in detail, applying the system functional structure diagram and functional use case diagram to represent the functional structure of the system and using flow charts to illustrate the workflow of the system as a whole and in parts. The logical structure design, entity-relationship design, and physical model design of the database have been carried out. To improve the efficiency of the system, the ID3 algorithm was improved on this basis to reduce the time complexity of its operation, improve the efficiency of the system operation, and achieve the goal of assessing and predicting the teaching quality of teachers. The development and design of this system provide an efficient, convenient, scientific, and reliable system tool to reduce the workload of education administrators and, more importantly, to make reasonable and effective use of the large amount of data generated in the management, and data mining techniques are used to extract valuable and potential information from these data, which can be more scientific and efficient for the teaching of teachers and students. It can provide reliable, referenceable, and valuable information for managers to make assessments and decisions.
基于数据挖掘技术，本文应用理论与实践相结合的方法，系统地描述了与数据挖掘技术相关的技术生成的背景和基本概念。深入详细地分析了经典的数据挖掘过程，并研究了基于 B/S 模型的教育管理决策支持系统的构建方法。不仅在该系统中应用了数据挖掘技术，而且还实现了改进的 ID3 算法的决策树模型，该模型进一步应用于本课题的教育管理决策支持系统。这降低了客户机计算机的负载，并且客户机计算机仅需要运行程序的一小部分。本文重点介绍以下方面：基于数据挖掘技术的教育管理决策支持系统的总体规划。从实际的教育管理工作出发，详细分析了该系统的需求和设计，应用系统功能结构图和功能用例图来表示系统的功能结构，使用流程图来说明系统的整体和部分工作流程。进行了数据库的逻辑结构设计、实体关系设计和物理模型设计。为了提高系统的效率，在该基础上对 ID3 算法进行了改进，减少了其操作的时间复杂度，提高了系统操作的效率，并实现了评估和预测教师教学质量的目标。该系统的开发和设计为教育管理人员提供了高效、方便、科学、可靠的系统工具，减少了他们的工作量，更重要的是，使他们能够合理有效地利用管理中产生的大量数据，并且数据挖掘技术可以从这些数据中提取有价值的潜在信息，这可以为教师和学生的教学提供更科学、更高效的信息。它可以为管理者提供可靠、可参考和有价值的信息，以进行评估和决策。
