Data Mining in Education: A Review of Current Practices

Sai Sujith Mangalapalli, Sai Venkata Pavan Kumar Munnangi, Mallikharjuna Abhiram Mulpuri, Sahithi Snigdha Reddy Goguladinne, Subrahmanyam Kodukula, Satish Thatavarthi
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Abstract

A significant amount of data is physically kept on hard drives or virtually stored in the cloud in the real world. Data is retained for a variety of purposes, such as learning, accessing, understanding, and so forth. Large amounts of data must be stored using an excellent infrastructure, which is quite expensive. Data mining tools were made available to help with this issue. Numerous industries, including healthcare, education, business, forensics, and law enforcement, use data mining techniques. This article surveys the significance of data mining techniques in the context of education. In addition to, the concurrent approaches are examined..
教育中的数据挖掘:当前实践回顾
在现实世界中,大量的数据物理地保存在硬盘驱动器上或虚拟地存储在云中。保留数据的目的有很多,比如学习、访问、理解等等。必须使用优秀的基础设施存储大量数据,这是非常昂贵的。数据挖掘工具可以帮助解决这个问题。包括医疗保健、教育、商业、取证和执法在内的许多行业都使用数据挖掘技术。本文概述了数据挖掘技术在教育领域的意义。此外,还研究了并发方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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