文献类型：会议论文

英文题名：Evaluation Method and Decision Support of Network Education Based on Association Rules

作者：Zhao, Junyan[1];Wang, Aixiang[1]

机构：[1]East China Univ Sci & Technol, Network Educ Coll, Shanghai 200237, Peoples R China

会议论文集：5th IEEE International Conference on Progress in Informatics and Computing (PIC)

会议日期：DEC 15-17, 2017

会议地点：Nanjing, PEOPLES R CHINA

语种：英文

外文关键词：Association Rules; Decision Support; Evaluation; Network education

摘要：With the development of network technology, decision support and data mining has been widely applied in many fields, such as finance, marketing, quality analysis. But it isn't applied widely in the evaluation of network education. In order to improve the quality of personal training, universities regard the "the quality of teaching and teaching reform project" as the starting point, carry out teaching and management reform and explore the new talent cultivation mode. This paper summarizes the relative theories and methods of decision support, then introduces association rule in data mining. First, we analyze the classical association rules mining Apriori algorithm, then analyse this algorithm's disadvantages and improvement ways. Second, we use the Apriori algorithm, which can evaluate the network education from different aspects, thus providing manager with clear and actionable feedback to enhance their practice. Finally, the algorithm's efficiency is assessed and we points out the further research problems.