Rough Set-Aided Feature Selection for Automatic Web-Page Classification

2005 ◽  
Author(s):  
T. Wakaki ◽  
H. Itakura ◽  
M. Tamura
Keyword(s):  
Feature Selection ◽  
Rough Set ◽  
Web Page ◽  
Web Page Classification ◽  
Selection For ◽  
Page Classification

Two novel feature selection approaches for web page classification

2009 ◽  
Vol 36 (1) ◽  
pp. 260-272 ◽  
Author(s):  
Chih-Ming Chen ◽  
Hahn-Ming Lee ◽  
Yu-Jung Chang
Keyword(s):  
Feature Selection ◽  
Web Page ◽  
Web Page Classification ◽  
Page Classification

A novel feature selection framework for automatic web page classification

2012 ◽  
Vol 9 (4) ◽  
pp. 442-448 ◽  
Author(s):  
J. Alamelu Mangai ◽  
V. Santhosh Kumar ◽  
S. Appavu alias Balamurugan
Keyword(s):  
Feature Selection ◽  
Web Page ◽  
Web Page Classification ◽  
Selection Framework ◽  
Page Classification

scholarly journals Research of Novel Web Page Classifiers and Feature Selection Methods

2019 ◽  
Vol 8 (11S) ◽  
pp. 51-55
Keyword(s):  
Feature Selection ◽  
Web Technology ◽  
Selection Methods ◽  
Web Page ◽  
Web Page Classification ◽  
Current Trends ◽  
Web Information ◽  
The World ◽  
The Web ◽  
Page Classification

The World revolves around the web technology at present. Every year, the Web information are exponentially growing and this information are huge and complex. The web users are difficult to classify and extract useful information from the web, because the Webinformation are noisy, redundant and irrelevant and also misclassified.Many researchers don’t have strongknowledge about the process of web page classification, techniques and methods previously used. The objective of this survey is to convey an outline of the modern techniques of Web page classification. In this survey, the recent papers in this area are selected and explored.Thus this study will help the researchers to obtain the required knowledge about the current trends in web page classification

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