A mining to the satisfaction with compulsory education funds based on association rules

摘要

In this paper, we use apriori algorithm to find the influence factors of the satisfaction with compulsory education funds. After the rules generated, we eliminate the rules with many antecedent items if their values of Confidence aren't significantly higher than those of the rules with less antecedent items. According to the properties of some commonly objective interestingness measures and the result of correlation analysis among them, we apply Odds ratio and Certainty factor to select interesting rules. From the selected rules, we find that school infrastructure, personal welfare and the use of education funds have significant influence on the satisfaction with compulsory education funds.