摘要
数据挖掘领域中,关联规则挖掘是研究的核心内容,其能够在大量数据中发现某种潜在的规律,从而辅助决策者实现决策。但是,频繁项集挖掘属于关联规则挖掘中最消耗时间的部分,挖掘速度对关联规则挖掘造成了影响,并且也对数据挖掘的效率造成了影响。另外,多核硬件技术在不断发展的过程中,多核处理器也在不断的普及,以此有效促进了多和并行软件技术的发展。所以,设计关联规则频繁项集挖掘算法具有重要的意义。本文深入研究了数据挖掘技术的算法,并且使用Prolog语言进行了实现,试图使用逻辑推理方法对数据挖掘过程中的问题进行有效解决。
In the field of data mining,association rule mining is the core content of research,it can be found in a large amount of data,some potential,so as to assist decision makers to decision making.However,frequent itemsets mining belongs to the most time-consuming part of the association rule mining,mining speed affects association rules mining,and also has an impact on the efficiency of data mining.In addition,multicore hardware technology in the process of growing,the popularity of multi-core processors are also con-stantly,in order to effectively promote the development of more and parallel software technology.So,design association rules algorithm for mining frequent itemsets is of great importance.This paper deeply studies the technique of data mining algorithm,and has carried on the implementation and use Prolog language,try to use logical reasoning method to effectively solve the problems in the process of data mining.
作者
李晓龙
冯俊文
LI Xiao-long;FENG Jun-wen(School of Economics and Management,Nanjing University of Science and Technology 210094,Nanjing Jiangsu China)
出处
《特区经济》
2018年第8期111-114,共4页
Special Zone Economy
基金
国家社科基金项目“县级政府行政服务中心绩效评估与比较研究”(项目批准号:16BZZ074)
关键词
关联规则
频繁项集
挖掘算法
association rules
frequent itemsets
themining algorithm
