基于E-OEM模型的Web数据精准挖掘研究  

Research on Web Data Precise Mining Based on E-OEM Model

作　　者：刘张榕[1] LIU Zhangrong(Information Engineering Department, Fujian Forestry Vocational and Technical College, Nanping 353000, China)

机构地区：[1]福建林业职业技术学院信息工程系,福建南平353000

出　　处：《微型电脑应用》2021年第10期146-149,164,共5页Microcomputer Applications

摘　　要：由于现有的精准挖掘方法受到Web数据库中图片数据后缀的影响,使得构建的会话数据结构冗杂,从而导致实际挖掘得到的数据不准确,因此,设计一种基于E-OEM模型的Web数据精准挖掘方法。转化Web日志为数据库文件,采用HITS算法整合图片数据后缀后,归一化处理会话数据,统一数据结构形式,标记处理该种结构形式数据的类内标识后,利用E-OEM模型分类Web数据结构,聚类选择Web数据中心,实现Web数据的精准挖掘。准备软硬件参数后,搭建实验环境,采用Iris数据集作为数据精准挖掘的对象,进行对比实验,结果表明这种精准挖掘方法在实际挖掘中得到的数据最准确,适合在实际挖掘中使用。Because the existing accurate mining methods are affected by the picture data suffix in the Web database,the constructed session data structure is miscellaneous,and may result in the inaccurate data,a Web data accurate mining method based on E-OEM model is designed.The method converts the Web log into a database file,integrates the picture data suffix with HITS algorithm,normalizes the session data,unifies the data structure form,marks and processes the identification of the data in this structure form,classifies the Web data structure using E-OEM model,clusters and selects the Web data center,and realizes the accurate mining of Web data.After the determination of software and hardware parameters,an experimental environment is built,and Iris data set is used as the object of accurate data mining.By experimental comparison,the results show that the method designed in this paper can obtain most accurate data and is suitable for practical mining.

关 键 词：E-OEM模型 Web数据 会话数据 数据结构形式 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]