The Application Of Data Mining In Teaching Of High Learning

Data Mining involves an integration of techniques from database, artificial intelligence, machine learning, and so on. Data Mining is "a technique that aims to analyze and understand the large source data and reveal knowledge hidden in the data". As there are large amounts of data in the databases, it is very important for us to find the useful information from the database. The research of Data Mining has reached significant achievement and has been applied successfully in many areas. However, fewer successful application in the field of education of Data Mining is reported.Classification is a very important task in Data Mining. It builds a model according to the data whose class labels are knows, and then uses this model to predict the classes of the data whose class labels are unknown. There are some famous classified algrothims such as Decision Tree, the Bayes, and the Neural Network. Among them, the Decision Tree exceeds the others in the feature of well understanging, well training and achievable. In this paper, we select the Decision Tree classified mehtopd in the application of higher dducation.According to the project, we accomplish the Data Mining process to analyze the student's result. The process includes making suer the Data Mining target, collecting the data, preprocessing data, classifying and generating the classification rule. We use C4. 5 algorithms to generate a decision tree, use postpruning method to pruning the tree, and then according to the decision tree, we obtain the classification rule.In this paper we analysis the concept, arithmetic, the process of Data Mining. Specially, anglicizing the arithmetic and the application of decision tree C4. 5, investigating the English learning of the students inAnhui Vocation and Technical College, and finding the more information for the decision on teaching.