| How to help students increase the score of university entrance exam is very significant,since1977the university entrance exam recovery, it has accumulated the massive test informations,how to make the students get rid of exams tactics, find out the connection between the knowledge from a lot of college entrance examination paper,help students master knowledge better. Data mining is method of extracting meaningful information or pattern from a mass of data, so by this way, we can find that the connection and rule between knowledge point of university entrance exam, guide students to master the knowledge.First, According to the research of data mining technology,This article uses the relation technologies of data mining and data mining methodology in the field of knowledge points in college entrance examination to do research and analysis, for the purpose of grasping the inspection laws of proposition and knowledge points inspect.Then, on the analysis of the association rules based on the original algorithm, this paper improves the original APRIORI algorithm by studying its disadvantages, In the college entrance examination knowledge points numeric attribute hierarchical algorithm, this paper uses the numeric hierarchical algorithm based on information entropy, and also this method is used in the improve algorithm of APRIORI for lifting searching efficiency and reducing finding the number of frequent items.Finally, on the basis of above study, A more complete BS architecture data mining site system of entrance examination points has been set up by using data mining technology and web technology to transform the relation theory rules.This system not only provides students with a convenient of more clear idea, but also provides a effect method to teachers for teaching. |
