A review of machine learning algorithms for web page classification

被引：0
|
作者：
Lassri, Safae [1 ]
El Habib, Benlahmar [1 ]
Abderrahim, Tragha [1 ]
机构：
[1] Hassan II Univ, Ben Msik Fac Sci, Lab Informat Technol & Modeling, Casablanca, Morocco
来源：
2018 IEEE 5TH INTERNATIONAL CONGRESS ON INFORMATION SCIENCE AND TECHNOLOGY (IEEE CIST'18) | 2018年
关键词：
Web Mining; Machine Learning; Web page classification;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The internet contains a large amount of data, to exploit it a special treatment of its content should be done, and a particular web information system should be developed. As a critical step of those systems, the web page classification is proposed. In this paper, we present the characteristics of web page classification, we reviewed the different machine learning algorithms used to categorize web pages. Finally, we track some assumptions from the studied methods.
引用
收藏
页码：220 / 226
页数：7
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