摘要
数据是信息社会重要的资源,数据挖掘技术可从数据中提炼出具有重要价值的信息。笔者结合学生成绩数据库,运用关联规则Apriori算法,采用逐层搜索迭代方式,从候选集中计算出所有项集的支持度:如果支持度大于最小支持度阈值,则选此为频繁项集,以此类推,最终得到的频繁项集置信度,可为解决问题提供科学依据。
Data is an important resource in information society.By using data mining technology,the decision-making basis with core value influence is extracted from the data.Combined with the student achievement database,using association rule Apriori Algorithm,using layer-by-layer search iterative method,the support degree of all item sets is calculated from the candidate set,if the support degree is greater than the threshold value of the minimum support degree,it is selected as frequent item set,and so on.The confidence level of the final frequent itemsets is calculated,and scientific conclusions are drawn for solving the problems.
作者
高洪涛
Gao Hongtao(Henan Vocational College of Information and Statistics,Zhengzhou Henan 450000,China)
出处
《信息与电脑》
2020年第2期126-127,130,共3页
Information & Computer
关键词
成绩数据库
数据挖掘
关联规则
achievement database
data mining
association rules
