A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection

2017 ◽  
Vol 21 (3) ◽  
pp. 741-754 ◽  
Author(s):  
Xiao-Yong Lu ◽  
Mu-Sheng Chen ◽  
Jheng-Long Wu ◽  
Pei-Chan Chang ◽  
Meng-Hui Chen
Keyword(s):  
Decision Tree ◽  
Clonal Selection ◽  
Spam Detection ◽  
Web Spam ◽  
Under Sampling ◽  
Selection For

scholarly journals A Feature-Partition and Under-Sampling Based Ensemble Classifier for Web Spam Detection

2015 ◽  
Vol 5 (6) ◽  
pp. 454-457 ◽  
Author(s):  
Xiaoyong Lu ◽  
◽  
Musheng Chen ◽  
Jhenglong Wu ◽  
Peichan Chan
Keyword(s):  
Ensemble Classifier ◽  
Spam Detection ◽  
Web Spam ◽  
Under Sampling

KLASIFIKASI SMS SPAM MENGGUNAKAN SUPPORT VECTOR MACHINE

2019 ◽  
Vol 15 (2) ◽  
pp. 275-280
Author(s):  
Agus Setiyono ◽  
Hilman F Pardede
Keyword(s):  
Data Mining ◽  
Support Vector Machine ◽  
Decision Tree ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Support Vector ◽  
Spam Detection ◽  
Support Vector Machine Algorithm ◽  
Data Mining Techniques ◽  
To Receive

It is now common for a cellphone to receive spam messages. Great number of received messages making it difficult for human to classify those messages to Spam or no Spam.  One way to overcome this problem is to use Data Mining for automatic classifications. In this paper, we investigate various data mining techniques, named Support Vector Machine, Multinomial Naïve Bayes and Decision Tree for automatic spam detection. Our experimental results show that Support Vector Machine algorithm is the best algorithm over three evaluated algorithms. Support Vector Machine achieves 98.33%, while Multinomial Naïve Bayes achieves 98.13% and Decision Tree is at 97.10 % accuracy.

scholarly journals Comparative Study of Web Spam Detection using Data Mining

2013 ◽  
Vol 68 (18) ◽  
pp. 26-29
Author(s):  
Chirag Nathwani ◽  
Viralkumar Prajapati ◽  
Deven Agravat
Keyword(s):  
Data Mining ◽  
Comparative Study ◽  
Spam Detection ◽  
Web Spam ◽  
Using Data

scholarly journals Web Spam Detection by Learning from Small Labeled Samples

2012 ◽  
Vol 50 (21) ◽  
pp. 1-5 ◽  
Author(s):  
Jaber Karimpour ◽  
Ali A. Noroozi ◽  
Somayeh Alizadeh
Keyword(s):  
Spam Detection ◽  
Web Spam
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