Evaluation method and decision support of network education based on association rules

Abstract

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.