A Chinese web page classification algorithm based on combination of Bayes classifier and clustering

2014 ◽  
Author(s):  
Zhiqiang Li ◽  
Yuan Tan
Keyword(s):  
Classification Algorithm ◽  
Bayes Classifier ◽  
Web Page ◽  
Web Page Classification ◽  
Page Classification

scholarly journals An improved SVM web page classification algorithm

2019 ◽  
Vol 1187 (4) ◽  
pp. 042063
Author(s):  
Xun-yi Ren ◽  
Chen Shi ◽  
Dan Zhang ◽  
Wen-si Wang
Keyword(s):  
Classification Algorithm ◽  
Web Page ◽  
Web Page Classification ◽  
Page Classification

Research of Web-Page Multi-Class Classification System Based on Support Vector Machine

2015 ◽  
Vol 713-715 ◽  
pp. 2312-2316
Author(s):  
Feng Chen ◽  
Rong Chen ◽  
Gen Cheng Wang
Keyword(s):  
Support Vector Machine ◽  
Classification Algorithm ◽  
Classification Model ◽  
Support Vector ◽  
Web Page ◽  
Web Documents ◽  
Web Page Classification ◽  
Multiple Classification ◽  
Multi Class Classification ◽  
Page Classification

A Chinese web-page classification algorithm based on SVM including the important aspects of text preprocessing, feature selection and multiple-Classification algorithm. In this paper, based on the analyses of features of Web documents, this paper does research the approach of classification in Support Vector Machine (SVM) and select of Kernel function. Furthermore, a web-page classification model and algorithm that is based on Binary Tree SVM is presented. The experiments show that it not only reduces the size of train set, but also has very high training efficiency. Its precision and recall are better.

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