Classification of lower limb motor imagery using K Nearest Neighbor and Naïve-Bayesian classifier

2016 ◽  
Author(s):  
Sanniv Bhaduri ◽  
Anwesha Khasnobish ◽  
Rohit Bose ◽  
D. N. Tibarewala
Keyword(s):  
Motor Imagery ◽  
Lower Limb ◽  
Nearest Neighbor ◽  
Bayesian Classifier ◽  
K Nearest Neighbor ◽  
Naïve Bayesian Classifier ◽  
Naive Bayesian ◽  
Naive Bayesian Classifier ◽  
Naïve Bayesian

scholarly journals E-Mail Spam Classification using Naive Bayesian Classifier

2021 ◽  
Vol 9 (VI) ◽  
pp. 5209-5214
Author(s):  
Mr. B. Krishna
Keyword(s):  
Bayesian Classifier ◽  
Spam Filtering ◽  
Naïve Bayesian Classifier ◽  
Naive Bayesian ◽  
Naive Bayesian Classifier ◽  
Naïve Bayesian ◽  
Filtering Technique ◽  
E Mail ◽  
Feature Extraction Technique

— E-mail spam is the very recent problem for every individual. The e-mail spam is nothing it’s an advertisement of any company/product or any kind of virus which is receiving by the email client mailbox without any notification. To solve this problem the different spam filtering technique is used. The spam filtering techniques are used to protect our mailbox for spam mails. In this project, we are using the Naïve Bayesian Classifier for spam classification. The Naïve Bayesian Classifier is very simple and efficient method for spam classification. Here we are using the Lingspam dataset for classification of spam and non-spam mails. The feature extraction technique is used to extract the feature. The result is to increase the accuracy of the system.

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