关联挖掘算法及发展趋势  

Association mining algorithm and its development trend

作　　者：李忠[1] 安建琴 刘海军[1] 宋奕瑶 

机构地区：[1]防灾科技学院,河北三河065201

出　　处：《智能计算机与应用》2017年第5期22-25,共4页Intelligent Computer and Applications

基　　金：河北省科技支撑计划项目(13210122);中央高校基本科研业务费专项资金(ZY20160106)

摘　　要：本文对关联挖掘算法进行了分析总结。首先提出了关联挖掘问题,阐述了关联规则的有关概念,然后从静态数据、动态数据和大数据等3个方面分别介绍了关联挖掘及其优化算法,指出目前关联挖掘算法存在的不足,认为弱关联分析和大数据环境下的关联算法研究将是未来的发展趋势。This paper summarizes the association mining algorithms to obtain some insights on its analysis. The correlation analysis problem is put forward first before setting forth association analysis as well as its optimization algorithms from static data,dynamic data and big data. An in-depth analysis on what is considered to be defect of correlation analysis mining algorithms is made,which shows the weak correlation analysis and correlation algorithm study under big data environment will be the developing trend in the future.

关 键 词：数据挖掘 频繁项集 关联规则 大数据 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]