教育中的数据挖掘:知识发现视角述评

P. Guleria, M. Sood
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引用次数: 21

摘要

数据库中的知识发现是在海量数据中发现知识的过程,数据挖掘是这一过程的核心。数据挖掘可用于从大型数据库中挖掘可理解的有意义的模式,然后将这些模式转换为知识。数据挖掘是提取由KDD过程派生的信息和模式的过程,有助于关键决策。数据挖掘与数据仓库一起工作,整个过程分为对数据执行的行动计划:选择、转换、挖掘和结果解释。本文综述了数据挖掘中的知识发现视角,并对数据挖掘的不同领域及其技术和方法进行了整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Mining in Education : A Review on the Knowledge Discovery Perspective
Knowledge Discovery in Databases is the process of finding knowledge in massive amount of data where data mining is the core of this process. Data mining can be used to mine understandable meaningful patterns from large databases and these patterns may then be converted into knowledge.Data mining is the process of extracting the information and patterns derived by the KDD process which helps in crucial decision-making.Data mining works with data warehouse and the whole process is divded into action plan to be performed on data: Selection, transformation, mining and results interpretation. In this paper, we have reviewed Knowledge Discovery perspective in Data Mining and consolidated different areas of data mining, its techniques and methods in it.
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