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Exploring the Usage of Data Mining and Knowledge Discovery Methodology in e-Learning

机译:探索数据学习和知识发现方法在电子学习中的用途

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Intelligent data mining and knowledge discovery methodology aims to extract useful information and discover some hidden patterns from huge amount of databases, which statistical approaches cannot discover. It is a multidisciplinary field of research includes: machine learning, databases, statistics, visualization, high performance computing, and knowledge engineering. Intelligent data mining techniques are very efficient tools towards the analysis of the data of student activities and behaviour which accumulated by learning management systems. This paper discusses some of the data mining techniques from the e-learning prospective. The benefits of usage clustering, classification, association rules mining, sequential pattern mining, and text mining techniques in e-Learning tasks are discussed as well.
机译:智能数据挖掘和知识发现方法旨在从大量数据库中提取有用的信息并发现一些隐藏的模式,而这是统计方法无法发现的。它是一个多学科的研究领域,包括:机器学习,数据库,统计,可视化,高性能计算和知识工程。智能数据挖掘技术是非常有效的工具,可用于分析由学习管理系统积累的学生活动和行为的数据。本文从电子学习的角度讨论了一些数据挖掘技术。还讨论了使用聚类,分类,关联规则挖掘,顺序模式挖掘和文本挖掘技术在电子学习任务中的好处。

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