Resarch Of Data Mining Based On Student Databases

We use the method of discovering Bayes Theorem and association rules to mine knolegde in student databases,the generated rules are valid in the current database ,we analyze the discovered rules and combine them with the practical work, which provide a scientific basis for college management and decision making.Bayesian classifier are can predict class membership probabilities,such as the probability that a given sample belongs to particular class.Bayesian classification is based on Bayes theorem,decribed below.Nai've Bayesian classifiers assume that the effect of an attribute value on a given class is independent of the values of the other attributes.The main problem of association rules found algorithmic is find all frequent itemsets,and generate strong association rules from the frequent itemsets.