基于关联规则的Web运行数据挖掘技术分析  

Analysis of Web Operation Data Mining Technology Based on Association Rules

作　　者：岳千 YUE Qian(Academic Affairs Office,Xi’an Technological University,Xi’an Shaanxi 710021,China)

机构地区：[1]西安工业大学教务处,陕西西安710021

出　　处：《信息与电脑》2022年第3期207-209,共3页Information & Computer

摘　　要：在数据库信息技术水平不断提高的背景下,数据挖掘技术也得到了广泛应用,能够从海量信息中寻找有价值的信息。Web系统为国内外普遍应用的信息发布渠道,其商业价值显著。在Web站点上实现运行数据挖掘,可以让信息技术更好地服务于人们的生产与生活。笔者结合数据库信息挖掘技术的发展现状,对基于关联规则的Web运行数据挖掘技术进行解析,以供各位同仁参考。Under the background of the continuous improvement of database information technology,data mining technology has also been widely used,which can find valuable information from massive information.The Web system is a widely used information release channel at home and abroad,and its commercial value is significant.Implementing data mining on Web sites can make information technology better serve people’s production and life.In combination with the development status of database information mining technology,the author analyzes the Web operation data mining technology based on association rules for the reference of colleagues.

关 键 词：关联规则 Web运行数据挖掘技术 APRIORI算法 UFAPA算法 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]