Using Naive Bayes to coordinate the classification of web pages

被引：0
|
作者：
Fan, Yan [1 ]
Zheng, Cheng [1 ]
Wang, Qing-Yi [1 ]
Cai, Qing-Sheng [1 ]
Liu, Jie [1 ]
机构：
[1] Dept. of Comp. Sci. and Technol., Univ. of Sci. and Technol. of China, Hefei 230027, China
来源：
| 2001年 / Chinese Academy of Sciences卷 / 12期
关键词：
Calculations - Classification (of information) - Data mining - Hypertext systems - Information retrieval - Internet - Learning systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
There is a vast source of information in WWW. How o find the useful information from Internet is an exact issue to be solved. The correct classification of Web pages is the core. Based on the structure characteristics of hypertext, the method of Naive Bayes is adopted to coordinate the two classifiers that use the text document and hypertext structure. Compared with the two separate classifiers, the combining classifier promotes the correctness of Web pages' classification evidently and steadily.
引用
收藏
页码：1386 / 1392
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