求翻译：鉴于数据挖掘中网页相似性聚合误差大量存在的问题，即不相似的网页被聚合到一起，而内容相似的网页却不能准确聚合。本文提出在原有相似网页聚合方法的基础上融入一种基于Redis的网页类别判定方法，形成一个旨在提高相似网页聚合准确性的优化策略。该优化策略首先建立Redis知识库，然后依据该知识库以及相关判定算法实现对网页特征词的行业类别判定，之后综合所有特征词的行业类别并通过权重值计算得出网页的行业类别，最后将其融入原相似网页聚合过程中，重新定义聚合标准，进而达到提高相似网页聚合准确性的目的。是什么意思？

Given the similarity in data mining aggregation error pages abound problem that dissimilar pages are aggregated together , and similar content pages , but not exactly the polymerization.

Given the data-mining, web page similarity aggregation error there are a lot of issues that are not similar to the web page of the aggregation, and similar content of the web page is not accurate aggregation. This paper presents the original similar web page aggregation methods are based on the inte

In view of the fact that in the data mining the homepage similarity polymerization error massive existence question, namely not the similar homepage gets together together, but the content similar homepage cannot get together accurately actually.This article proposed integrates one kind in the origi

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