Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem

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ISSN Print: 2153-1234
ISSN Online: 2153-1242
www.scirp.org/journal/jis
E-mail: jis@scirp.org

"Two Approaches on Implementation of CBR and CRM Technologies to the Spam Filtering Problem"
written by Rasim Alguliyev, Saadat Nazirova,
published by Journal of Information Security, Vol.3 No.1, 2012

has been cited by the following article(s):

[1]	Machine learning techniques for spam detection in email and IoT platforms: analysis and research challenges
	Security and …, 2022

[2]	Enhancement of spam detection mechanism based on hybrid $$\varvec {k} $$ k-mean clustering and support vector machine
	Soft Computing, 2015

[3]	Improved Scheme of E-mail Spam Classification Using Meta-heuristics Feature Selection and Support Vector Machine
	Thesis, 2015

[4]	A Novel Feature Selection Based on One-Way ANOVA F-Test for E-Mail Spam Classification
	Research Journal of Applied Sciences, Engineering and Technology, 2014

[5]	Enhancement of spam detection mechanism based on hybrid\ varvec {k}-mean clustering and support vector machine
	Soft Computing, 2014

[6]	Application of Case Based Reasoning in IT Security Incident Response
	2014

[1]	Machine Learning Techniques for Spam Detection in Email and IoT Platforms: Analysis and Research Challenges Security and Communication Networks, 2022 DOI:10.1155/2022/1862888

[2]	Spam Detection Technique Using Machine Learning With Principle Component Analysis International Journal of Advanced Research in Science, Communication and Technology, 2022 DOI:10.48175/IJARSCT-4615

[3]	Enhancement of spam detection mechanism based on hybrid $$\varvec{k}$$ k -mean clustering and support vector machine Soft Computing, 2015 DOI:10.1007/s00500-014-1479-2

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