The Research Of Application On Student Mark Management Of Association Rules

The quick 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 disseretation makes research on the analysis of student mark data. The main achievements are as follows.1. The technology of data mining is summarized, including the background, the development of research and application.2. The technology and methods of data preparation process are in detail introduced. Combined the characteristics of student mark data, a corresponding method of data preparation process is proposed.3. Basic theory of Association Rules is researched. The typical algorithms such as Apriori and FP-growth of mining association rules are discussed and analyzed.Based on array, the Apriori algorithm is improved.4. Combined the characteristics of student mark data, the technology of data mining and Apriori algorithms are applied in student mark management. The concept of student-fostered model and mark-defined model are proposed and studied. With the mark data of a class student in school, the influence in courses is analyzed. Finally, with JAVA and Microsoft Access2000, data mining in student mark management is developed and the further improvement about it is proposed.