天津职业技术师范大学学报

对数据关联规则挖掘中最为消耗系统资源的步骤——搜寻频繁项集作了深入的描述,在对已有数据关联规则挖掘算法的分析基础上,提出了基于Fp-Growth算法的数据关联规则挖掘改进的Fp-Growth算法,开发了无锡交通高等职业技术学校的教务管理系统,并通过实验验证了改进的挖掘算法的有效性和优越性。

Search frequent item sets——the most-consuming step for system resources are described in detail in this paper.Based on the data mining of association rules in the consumption,Fp-Growth algorithm for data mining for association rules of the improved Fp-Growth algorithm is proposed and the academic management system of Wuxi Institute of Communications Technology is developed.The experiment has verified the improved mining efficiency and superiority of the algorithm.