Innovating Web Page Classification Through Reducing Noise计算机科学与技术学报：英文版论文
【题名】：Innovating Web Page Classification Through Reducing Noise计算机科学与技术学报：英文版论文(Innovating Web Page Classification Through Reducing NoiseJiSuanJiKeXueYuJiShuXueBao：YingWenBanLunWen) 【关键词】：降噪 Web页分类 计算机网络 【keywords】：JiangZao WebYeFenLei JiSuanJiWangLuo 【作者】：李晓黎,史忠植,      【来源】： 知识词典 【期刊名称】：计算机科学与技术学报：英文版(JiSuanJiKeXueYuJiShuXueBao：YingWenBan) 【国际标准刊号】：1000-9000        【国内统一刊号】：11-2296 【作者单位】：[1]KeyLaboratoryofIntelligentInformationProcessing,InstituteofComputingTechnologyTheChineseAcademyofSciences,Beijing100080,P.R.China [2]KeyLaboratoryofIntelligentInformationProcessing,InstituteofComputingTe([1]KeyLaboratoryofIntelligentInformationProcessing,InstituteofComputingTechnologyTheChineseAcademyofSciences,Beijing100080,P.R.China [2]KeyLaboratoryofIntelligentInformationProcessing,InstituteofComputingTe) 【分类号】：TP393.092      【页码】：-9-17      【出版年】：2002.1         This paper presents a new method that eliminates noise in Web page classification.It first describes the presentation of a Web page based on HTML tags.Then through a novel distance formula,it eliminates the noise in similarity measure.After carefully analyzing Web pages,we design an algorithm that can distinguish related hyperlinks from noisy ones,Web can utilize non-noisy hyperlinks to improve th performance of Web page classification (The AWN algorithm).For any page.we can classify it through the text and category of neighbor pages relted to the page.The experimental results show that our approach improved classification accuracy.
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