Application of Data Mining in Higher Education System

摘要：

Students performance in university courses is of great concern to the higher education management where several factors may affect their performance. This paper addresses the capabilities of data mining and its application in higher education by offering a data mining model to learn the main attributes that may affect students performance in courses. During the mining process, the CRISP framework and classification method for data mining is used for mining students related academic data over the previous year. The findings can be used to understand students learning, and then help teachers with managing their class.

关键词： Students performance Higher education Data Mining CRISP Classification

作者: Xiaoying Huang Yafen Li Pu Wang

作者单位: College of Electronic Information and Control Engineering Beijing University of Technology Chaoyang District, Beijing, China

会议类型: 国际会议

会议名称: International Forum of Knowledge as a Service(2010知识服务国际论坛)

会议地点: 厦门

会议语种:英文

页码: 203-206

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）