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Web日志挖掘与上网行为习惯分析
作者单位:安徽理工大学计算机科学与工程学院 安徽淮南232001
摘    要:本文以某校校园网Web日志挖掘为例,首先阐述如何进行Web挖掘,其次运用该理论分析该校Web日志得到用户上网行为习惯,并给出合理化建议,最后引出进一步探索的方向,为以后工作奠定基础。本文采用的挖掘方法具有通用性和实用性,对于类似时序序列趋势分析都可参考本文。

关 键 词:Web日志挖掘  上网行为习惯  时序数据  序列数据

Mining and Internet Web Log Analysis Behaviour
JIANG Qun,WANG Jiu-ru. Mining and Internet Web Log Analysis Behaviour[J]. Digital Community & Smart Home, 2008, 0(12)
Authors:JIANG Qun  WANG Jiu-ru
Abstract:This article take some school campus net Web diary excavation as an example, first elaborated how carries on the Web excavation, next utilizes this theoretical analysis this school user Web diary to obtain the user surfer behavior custom, and aims at the excavation result to give the rationalization proposal, educates the student and the school leader for the instructor supervises the teacher and the office personnel provides the science reference. Finally draws out the direction in this foundation which the Web diary excavation further explores, lays the foundation for later work. This article uses the excavation method has the versatility and the usability, all may refer to this article procedure regarding the similar succession sequence trend analysis.
Keywords:Web log excavation  surfer behavior custom succession data sequence data  succession data trend analysis  Baye classifies  
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