Improved email spam detection model based on support vector machines

2017 ◽  
Vol 31 (3) ◽  
pp. 691-699 ◽  
Author(s):  
Sunday Olusanya Olatunji
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Spam Detection ◽  
Detection Model ◽  
Model Based ◽  
Vector Machines ◽  
Email Spam

scholarly journals Email Spam Detection using SVM

2021 ◽  
Vol 9 (VI) ◽  
pp. 669-672
Author(s):  
Azhar Baig
Keyword(s):  
Support Vector Machines ◽  
Personal Information ◽  
Support Vector ◽  
Spam Detection ◽  
Large Numbers ◽  
Vector Machines ◽  
E Mail ◽  
Email Spam

E-mail contributes to internet messaging as a necessary component. Spam mails are unwanted messages that appear in large numbers and are exploited by spammers to divulge personal information of the user. These e-mails are frequently company/control announcements or malware that the user receives suddenly. Email spamming is one of the Internet's unsolved challenges, causing inconvenience to users and loss to businesses. Filtering is one of the foremost widely used and important methods for preventing spam emails. Email filters are commonly wont to organize incoming emails, protect computers from viruses, and eliminate spam. We present this method to classifying spam emails using support vector machines during this study, the SVM outperformed other classifiers.

scholarly journals Combination of Model-based Observer and Support Vector Machines for Fault Detection of Wind Turbines

2014 ◽  
Vol 11 (3) ◽  
pp. 274-287 ◽  
Author(s):  
Nassim Laouti ◽  
Sami Othman ◽  
Mazen Alamir ◽  
Nida Sheibat-Othman
Keyword(s):  
Support Vector Machines ◽  
Fault Detection ◽  
Wind Turbines ◽  
Support Vector ◽  
Model Based ◽  
Vector Machines
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