基于大数据集的动态数据库关联挖掘技术分析  

Analysis of Dynamic Database Association Mining Technology Based on Big Data Set

作　　者：佘春燕[1] SHE Chunyan(Xinjiang Applied Vocational and Technical College,Xinjiang 833200,China)

机构地区：[1]新疆应用职业技术学院,新疆833200

出　　处：《电子技术（上海）》2022年第6期61-63,共3页Electronic Technology

摘　　要：阐述一种大数据集视域下动态数据库关联挖掘方法,从动态数据库已有数据挖掘以及新添加数据挖掘两方面探讨了动态数据关联挖掘过程,并采用A组、B组与C组实验对比的方式。实践证明,提出的关联数据挖掘方法具有挖掘效率高、内存占用量小的优势。This paper expounds a dynamic database association mining method in the view of large data set,discusses the dynamic data association mining process from two aspects of existing data mining and new data mining in dynamic database,and adopts the experimental comparison method of group A,group B and group C.Practice has proved that the proposed association data mining method has the advantages of high mining efficiency and small memory consumption.

关 键 词：大数据集 动态数据库 关联挖掘 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]