基于若当标准型相关理论的网页客户挖掘与聚类实证研究  

An Empirical Study about Data Mining and Clustering for Webpage Customers

作　　者：徐国华[1] 

机构地区：[1]太原大学计算机中心,山西太原030032

出　　处：《湘潭大学自然科学学报》2012年第4期112-117,共6页Natural Science Journal of Xiangtan University

基　　金：山西省教育科学"十二五"规划课题(GH-11139)

摘　　要：为了对网页客户进行研究,从理论上自主构建了一套具体的分析方法.该方法将代数学知识与计算机科学知识相结合,通过进行若当标准型转化和施密特正交化,确定了网页客户的具体分类方法,同时也确定了网页客户的发展趋势.随后,将上述理论分析结果具体应用于某网站,展开基于该实证对象的网页客户挖掘与聚类研究.确定了该网站的发展趋势和聚类特性.通过近一年的应用检验,确定了理论研究和实证应用的正确性.In order to webpage customer research, theoretically independent constructs a set of specific a- nalysis method. The algebra and computer combined scientific knowledge, through the Jordan normal form transformation and the Schmidt orthogonalization, determining the webpage customer specific classification methods, and also determined the webpage of customer development trend. Subsequently, the results of theoretical analysis the specific application in some website, expansion based on the empirical object web- page customer mining and clustering analysis. The site of the development trend and the clustering charac- teristic of. Through nearly a year of application test, to determine the theoretical research and empirical ap- plication is correct.

关 键 词：若当标准型 网页 挖掘 聚类 代数 研究 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]