摘要
教育大数据挖掘的基础就是数据,丰富、高质量的强大数据对数据挖掘的结果至关重要。在数据挖掘中数据的准备是耗时最多的环节,数据的准备包括教育数据的收集、数据的质量分析和数据的预处理三个环节,只有做好这三个环节,才能保证教育大数据的最大价值和数据挖掘的有效性。
As the basis of education big data mining is data, abundant and high-quality big data is crucial to the result of data mining. In the process of data mining, preparation of data is the step that takes most time. The preparation of data mainly includes three steps： education data collecting, data quality analysis and data pre-processing. Only after we complete the three steps well, we can ensure the highest value of education big data and the effectiveness of data mining.
出处
《宁波教育学院学报》
2016年第6期62-65,共4页
Journal of Ningbo Institute of Education
基金
杭州师范大学2016新型智库建设及教改项目
关键词
教育大数据
收集
质量分析
预处理
education big data
collecting
quality analysis
pre-processing
