Comparison of feature selection and classification algorithms in identifying malicious executables
type: Item
instance of: scholarly article
title: Comparison of feature selection and classification algorithms in identifying malicious executables
zbMATH Open document ID: 1161.62459
author: D. Michael Cai
author: James Theiler
author: Maya B. Gokhale
published in: Computational Statistics and Data Analysis
publication date: 2009-05-29T00:00:00Z
Mathematics Subject Classification ID: 62P99
Mathematics Subject Classification ID: 90B18
Mathematics Subject Classification ID: 68M10
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5559470
zbMATH Keywords: feature selection
zbMATH Keywords: support vector machine
zbMATH Keywords: Naïve Bayes classifier
zbMATH Keywords: malicious executable file
zbMATH Keywords: email filtering
describes a project that uses: SVMlight
describes a project that uses: LIBSVM
MaRDI profile type: Publication
full work available at URL: j.csda.2006.09.005
OpenAlex ID: W1996209007
cites work: Support-vector networks
cites work: 10.1162/153244303322753670
cites work: Q4256325
cites work: Improvements to Platt's SMO Algorithm for SVM Classifier Design
cites work: Wrappers for feature subset selection
cites work: Q3174061
cites work: Q4457477
cites work: Q4261789
DOI: 10.1016/J.CSDA.2006.09.005
description: scientific article; zbMATH DE number 5559470