关键词: WEB挖掘, 模糊支持向量机, T-S模糊模型

Abstract: Web mining is baseding on excavating of text stream,and owing to the fact that the characteristic of sample vector often has several ten thousand, the operation speed of classification algorithm directly influences his reality applying. Putting forward to the fuzzy support vector machine classification algorithm based on T-S model, the superiority of algorithm embodies several aspects in the following, first, utilizing its language information efficiently. Ssecond, the difficulty of determining optimum solution via two times planning for mass data is solved because two times planning optimum solution could be determined through only partial samples; finally, it could be known through the algorithm that it could be executed on parallel operation running on computers and this will improve the speed of the algorithm.

Key words: Web mining, fuzzy support vector machine, T-S fuzzy model