The Noise Reduction Method of Web Pages Based on Image Features

Haitao Yao, Zhiyi Yin, Fuxi Zhu, Changsheng Gong
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引用次数: 6

Abstract

Same layer webpage have similar presentation styles and noise blocks. The first step of data mining is to remove noise blocks from web pages. Different from traditional similarity measurement method based on DOM trees, a noise removal method based on image features is proposed in this paper. In this method, web pages are processed as images. And then, all of image features can be flexibly used as criteria to measure similarity of noise blocks. As a result, noise blocks and information blocks can be distinguished after measuring similarity, and the reduction of noise is realized. The results of experiment demonstrate that this method is accurate and reliable and it can support joint measurement of multiple image features. Keywordsnoise reduction; web data mining; image features
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基于图像特征的网页降噪方法
同一层网页有相似的显示样式和噪块。数据挖掘的第一步是从网页中去除噪声块。与传统的基于DOM树的相似度度量方法不同,本文提出了一种基于图像特征的去噪方法。在这种方法中,网页被当作图像处理。然后,可以灵活地使用所有图像特征作为度量噪声块相似度的准则。通过测量相似度,可以区分噪声块和信息块,实现降噪。实验结果表明,该方法准确可靠,能够支持多种图像特征的联合测量。Keywordsnoise减少;Web数据挖掘;图像特征
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