摘要
提出了一种基于粗糙集的Web日志挖掘模型,该模型采用粗糙集的方法对原始数据进行约简,然后应用粗糙集理论对数据进行定性分析和约简.最后结合一个Web日志实例验证了方法的可行性和有效性.
Weblog mining can provide us necesssary knowledge from a great deal of Weblog. The theory based on rough set in this paper is generally a Weblog mining modal,which simplify originate data by means of rough set, and then make use of rough set theories to analize data qualitatively. Finally, combined with a Weblog experience, it proves that the means offered in this paper is feasible.
出处
《河南科学》
2010年第1期87-90,共4页
Henan Science
基金
河南广播电视大学科研项目(2004KYKT0011)
关键词
粗糙集
WEB日志挖掘
属性约简
差别矩阵
rough set
Weblog mining
attributes reduction
discernibility matrix
