基于频繁项集挖掘的数据库超文本查询算法研究

Research on Database Hypertext Query Algorithm Based on Frequent Itemsets Mining

目前数据库超文本查询方法存在查询准确率较低的问题,为解决这一问题对基于频繁项集挖掘的数据库超文本查询算法进行研究。研究通过建立频繁项集挖掘数据库超文本查询模型,以模型为基础对数据库超文本查询关联规则计算,从而实现数据库超文本查询权重计算。通过实验,对繁项集挖掘数据库超文本查询算法与传统查询算法精准度相比较,从而证明频繁项集挖掘数据库超文本查询算法的有效性。

At present, the database hypertext query method has the problem of low query accuracy. To solve this problem, the database hypertext query algorithm based on frequent item set mining is studied. Through the establishment of frequent itemsets mining database hypertext query model,the database hypertext query association rules are calculated based on the model, so as to realize the database hypertext query weight calculation.Through experiments, the hypertext query algorithm of the multi-item mining database is compared with the accuracy of the traditional query algorithm, which proves the effectiveness of the frequent item set mining database hypertext query algorithm.