The Recognizing of Web Pages Based on Bayes Algorithm

Abstract

Abstract: While the fast growing of the internet brings people lots of convenience, it also brings up a new problem of how to find the information needed from a mass of data efficiently. One of its key problem is the recognizing of Web pages. We carry out the recognizing by two methods----Bayes algorithm and improved Bayes algorithm, and analyse the result from the two machine learning algorithms.

摘要： Ｉｎｔｅｒｎｅｔ的飞速发展在带给人们４良多方便的同时，也出现了一个新问题．即如何从大量的信息中快速而方便地找到所需要的信息。Ｗｅｂ网页识别是其关键技术问题之一。使用了两种机器学习算法一Ｂａｙｅｓ算法、改进Ｂａｙｅｓ算法实现了网页识别，并对两种机器学习算法的效果进行了实验分析。

关键词: 特征提取, 机器学习, Bayes机器学习算法, 改进Bayes机器学习算法

CLC Number:

TP393.0

Wu Xiouqing, Han Binbin. The Recognizing of Web Pages Based on Bayes Algorithm[J]. , 2000, 26(03): 6-7.

吴秀清,韩彬斌. 基于Bayes算法的Web网页识别[J]. , 2000, 26(03): 6-7.

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URL: https://www.ecice06.com/EN/Y2000/V26/I03/6

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