Research And Application On Association Rules Based Bata Mining

The rapid development of information technology leads an incredible rocket in all kinds of data. Data Mining provides People a new intelligent approach to understand data. Association rule is an important pattern in data mining.Based on the research of the algorithm on mining association rule, the disscretation makes research on the analysis of students' markdata. Firstly, in view of the shortcomings and lack ,support the atching-degree method to replace the atching-degree of confidence, the rules generated by the matching-degree method not only have high relevance on before and after, but also reduce the generation of redundant rules. Secondly, on the basis of the research of Apriori algorithm,presents an improved matrix-based Apriori algorithm to improve the performance of association rule algorithm. This algorithm uses the thoughts of matrix, just needs scan the database only one time to get the frequent itemset,it increase the efficiency of algorithm.Finally,combined the characteristics of students' data,the technology of data mining and Apriori algorithms are applied in student management system. The concept of student -fosteredmodel and model of relationship between excellent courses are proposed and studied. With the information data sources of students, make the use of improved Apriori algorithm to achieve the above goals.