摘要： 提出了一种加权的Web 挖掘技术，从Web 日志中发现语义限定的加权序列模式。每个网页由不同的专家给出语义上的重要性评估，这些语义评估再被转化成表示权重的模糊集。最后由用户指定语义上的最小支持度和最小偏爱度进行挖掘。这种语义上的输入和输出更自然、更易被理解。最后通过一个例子描述了所提出的方法。

关键词: Web 挖掘；加权序列模式；权的模糊集

Abstract: This paper attempts to propose a weighted Web mining technique using linguistic parameters to discover weighted browsing patterns from log data in Web servers. Web pages are firstly evaluated by managers as linguistic terms to reflect their importance, which are then transformed as fuzzy sets of weights. Users assign the linguistic minimum support and preference. The linguistic inputs and outputs are more natural and understandable for human beings. An example is also given to clearly illustrate the proposed approach

Key words: Web mining; Weighted browsing patterns; Fuzzy set of weights