The Research Of Extension Association Rule Algorithms And Its Application In Education Evaluation

Data mining technology as a knowledge discovery tool becomes more and more mature. Association Rules is a normally method in Data Mining, it finds the relationship which accords with the supplied support and confidence among some data regions, by describing the potential relation between data items in database. Extension Association Rule algorithms bases on Extenics idea and Association Rules, it focuses on mining the rules about the contradiction around us through Extenics idea and methods.Education evaluation is an important part of the education system, and establishing the effective education evaluation model is the prerequisite. With the constantly improvement of Education Informatization System, education data increases rapidly. Now we urgently need to use Data Mining technology to find the potential rules and patterns among the education data. If we put this technology into education evaluation, it would be a new way in education evaluation.We use Mining Association Rules in education evaluation, so as to mine more information about education rules and trends, and better guide the education work. This paper bases on Extenics idea and Association Rules, and put forward the Extension Association Rule algorithms, which was applied in the education evaluation successfully. There are three points in this paper:First of all, construct the matter-element model based on Extenics idea and Association Rules. Matter-element model can reflect the membership degree between attributes of two matter-elements, so that the relationship will include not only entity description but also attribute description, thus the association rules which we have mined will be more simple and understandable.Second, improve the Extension Association Rule algorithms. We bring in the relativity of matter-element on the basis of the Apriori algorithm, and provide the basis for quantifiable Association Rule Data Mining. In the mining process, we optimize the combination of the transaction data sets, and reduce the computation of data by means of counting and deleting the data sets, so that the efficiency of association rule mining is improved.Third, apply the Extension Association Rule algorithms in the education evaluation. We construct the database of education evaluation by the form of matter-element model, and mine the rules which affect course by using the relativity of the education evaluation matter-elements. At last, we have gained some useful rules.