【摘要】 提出了使用语言最小支持度和偏爱度的web日志挖掘方法.表示用户兴趣和偏爱程度的支持度和偏爱度被刻画成相应的模糊语言变量,通过与最小语言支持度和偏爱度(模糊语言变量)比较,判定该网页是否是一个用户偏爱网页,这种语言的输入输出更自然更易理解.此外,网页上的浏览时间也是反映用户兴趣和偏爱的一个重要因素,它也被表示成相应的模糊语言变量,既体现不同网页浏览时间的不同,也可以忽略它们之间的细微差别.所获得的带有模糊时间的用户偏爱浏览路径更能反映用户的兴趣和偏爱性.更多还原

【Abstract】 The method of mining web logs with linguistic minimum support and preference is proposed.The support and preference denoting users’ interests and preferences are characterized as fuzzy linguistic variable,respectively.By comparising with the minimum linguistic support and preference(fuzzy linguistic variable),whether the web page is a preferred page or not is judged.The linguistic inputs and outputs are more natural and understandable for human beings. Besides,time duration on web page is an important factor disclosing users interests and preferences.It is denoted by a fuzzy linguistic variable, which not only reflects the notable difference between them but ignore their subtle difference. The gained fuzzy preferred patterns with fuzzy time duration more strongly disclose the users’ interests and preferences.更多还原