Probability-based Naïve Bayes Algorithm for Email Spam Classification-Reference-Cited by-同舟云学术

Probability-based Naïve Bayes Algorithm for Email Spam Classification

Published:2022-01-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer Communication and Informatics (ICCCI)
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Author:

Sumithra A.¹,Ashifa A.¹,Harini S.¹,Kumaresan N.²

Affiliation:

1. SNS College of Technology,Dept. of CSE,Coimbatore,India

2. Sri Shakthi Institute of Engineering and Technology,Dept. of ECE,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9740652/9740653/09740792.pdf?arnumber=9740792

Reference14 articles.

1. Three-Way Decisions Versus Two-Way Decision Filtering Spam Email;jiya;Transactions on Rough Sets,2014

2. The Feature Selection Method based on Genetic Algorithm for Efficient of Text Clustering and Text Classification;hong;The International Journal of Advances in Soft Computing and Its Applications,2015

3. Supervised classification of spam emails with natural language stylometry

4. Improving E-Mail Spam Classification using Ant Colony Optimization Algorithm;renuka;International Conference on Innovations in Computing Techniques (ICICT 2015),0

5. Investigating the Effect of Combining Text Clustering with Classification on Improving Spam Email Detection

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