Novel Detection of Accurate Spam Content using Logistic Regression Algorithm Compared with Gaussian Algorithm-Reference-Cited by-同舟云学术

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Novel Detection of Accurate Spam Content using Logistic Regression Algorithm Compared with Gaussian Algorithm

Published:2022-02-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Business Analytics for Technology and Security (ICBATS)
language:
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Author:

Bhavitha K. V.¹,Thangaraj S.John Justin¹

Affiliation:

1. Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9758922/9758923/09759003.pdf?arnumber=9759003

Reference26 articles.

1. Oligonucleotide therapy: An emerging focus area for drug delivery in chronic inflammatory respiratory diseases

2. Open Versus Closed Treatment of Unilateral Subcondylar and Condylar Neck Fractures: A Prospective, Randomized Clinical Study

3. Evaluating and Attacking Statistical Spam Filtering Systems;wittel,2004

4. Automated Detection of Human Users in Twitter

5. Youtube SPAM CLASSIFIED-COMMENTS;goneee,2021

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1. Enhanced Extremist Reviewer Group Detection in Online Product Reviews using RNN in comparison with CNN;2023 9th International Conference on Smart Structures and Systems (ICSSS);2023-11-23

2. Relative Analysis of Random Forest Classification over Support Vector Machine Classifier for Credit Card Cyber Thefts Detection with Reduced False Rate;2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2023-04-06

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