摘要
由于信息技术领域的飞速发展,在我国数据挖掘技术已经被广泛应用于与生活息息相关的领域中,针对Apriori算法的关联规则的数据挖掘中所存在的诸多问题,介绍基于粒计算算法的关联规则数据挖掘技术,它是在传统算法上的优化改进。通过具体的实证分析,比较分析Apriori算法和基于粒计算算法的不同效果。因而得出结论,粒计算算法的关联规则数据挖掘技术在进行数据挖掘处理时更加可行直观且高效,构建一个良好的、开放式的数据挖掘平台。
With the rapidly development of the information field, data mining technology is widely used in the field closely related with our life. Improves the traditional algorithm based on the association rule data mining technology and the problems of Apriori algorithm of association rules mining. Analyzes the differences between Apriori algorithm and granular computing algorithm through the empirical analysis. The result shows that the granular computing data mining association rules are more feasible and effective in data processing, it can provide necessary conditions for the construction of open data mining platform.
