计算机应用 ›› 2005, Vol. 25 ›› Issue (03): 646-648.DOI: 10.3724/SP.J.1087.2005.0646
• 数据库与数据挖掘 • 上一篇 下一篇
范敏，黄席樾，石为人
发布日期:
出版日期:
基金资助:
重庆大学基础及应用基础研究基金
FAN min,HUANG Xi-yue,SHI Wei-ren
Online:
Published:
摘要：
针对Web信息的结构特点设计了一个发现用户访问模式的PDAS系统,并以关联规则为理论基础提出了发现单一用户K 序列频繁访问模式的过程模型及算法。经实验证明,通过该算法获得的频繁访问模式对商业网站的营销决策有一定辅助意义。
关键词: 电子商务, 过程模型, 频繁访问模式
Abstract:
A PDAS(Pattern Discovery and Analyzing System) structure for finding user access patterns was designed according to characteristics of Web information. Based on association rule theory, the processing models and algorithms of single-user k-sequence frequent access patterns were presented. Experiments show that frequent access patterns mined by algorithms can assist decision-making to some extent.
Key words: E-commerce, processing model, frequent access patterns
中图分类号:
TP393
范敏，黄席樾，石为人. 基于Web挖掘的过程模型及算法[J]. 计算机应用, 2005, 25(03): 646-648.
FAN min,HUANG Xi-yue,SHI Wei-ren. Processing Models and algorithms based on Web mining[J]. Journal of Computer Applications, 2005, 25(03): 646-648.
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链接本文: http://www.joca.cn/CN/10.3724/SP.J.1087.2005.0646
http://www.joca.cn/CN/Y2005/V25/I03/646
