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基于不规则路径聚类算法的用户访问模式挖掘
引用本文:杨彦玲,任燕,段隆振,刘飞荣,李磊. 基于不规则路径聚类算法的用户访问模式挖掘[J]. 计算机与现代化, 2010, 0(4): 91-93. DOI: 10.3969/j.issn.1006-2475.2010.04.025
作者姓名:杨彦玲  任燕  段隆振  刘飞荣  李磊
作者单位:南昌大学信息工程学院,江西,南昌,330031
基金项目:江西省自然科学基金资助项目(2008GZS0074)
摘    要:通过分析目前主流的Web用户访问模式挖掘的技术方法,针对各种挖掘算法存在复杂度高、灵活性低的缺陷,本文提出一种能对不规则用户访问路径进行用户访问模式挖掘的聚类算法,该算法可以简单高效地挖掘不定长度的用户兴趣模式。

关 键 词:Web日志挖掘  聚类  不规则路径  用户访问模式

Mining User Access Patterns Based on Irregular User Access Path Clustering Algorithm
YANG Yan-ling,REN Yan,DUAN Long-zhen,LIU Fei-rong,LI Lei. Mining User Access Patterns Based on Irregular User Access Path Clustering Algorithm[J]. Computer and Modernization, 2010, 0(4): 91-93. DOI: 10.3969/j.issn.1006-2475.2010.04.025
Authors:YANG Yan-ling  REN Yan  DUAN Long-zhen  LIU Fei-rong  LI Lei
Affiliation:School of Information Engineering/a>;Nanchang University/a>;Nanchang 330031/a>;China
Abstract:The paper mainly analyzes the current mainstream technology and methods of Web user access patterns mining.Contrary to the defects of variety of mining algorithms,such as high complexity,low flexibility,the paper proposes a clustering algorithm that can mine user access patterns contrary to irregular user access path.This algorithm can mine user interest patterns simply and high efficiently.
Keywords:Web log mining  clustering  irregular path  user access patterns  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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