ML Approaches to Detect Email Spam Anamoly-Reference-Cited by-同舟云学术

ML Approaches to Detect Email Spam Anamoly

Published:2022-12-08 Issue: Volume: Page:
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Container-title:2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
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Author:

Narendra Kumar Rao B¹,Partheeban P.²,Naseeba Beebi³,Raju Hemadri Prasad⁴

Affiliation:

1. Sri Vidyanikethan Engineering College,Departmnt of Computer Science and Engineering,Tirupathi,India

2. Chennai Institute of Technology,Chennai,India

3. VIT-AP University,School of Computer Science and Engineering (SCOPE),India

4. Sree Vidyanikethan Engineering College,Tirupati,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10028778/10028782/10028911.pdf?arnumber=10028911

Reference7 articles.

1. E-Mail Spam Detection and Classification Using SVM and Feature Extraction;shradhanjali;International Jouranlof Advance Reasearch Ideas and Innovation in Technology,2017

2. Email Spam Detection Using Integrated Approach of Naïve Bayes and Particle Swarm Optimization;agarwal;2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS),2018

3. A Comprehensive Survey for Intelligent Spam Email Detection;karim;IEEE Access,2019

4. An evaluation on the efficiency of hybrid feature selection in spam email classification

5. Text and image based spam email classification using KNN, Naïve Bayes and Reverse DBSCAN algorithm

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