A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression
Huda, Shamsul, Abawajy, Jemal, Abdollahian, Mali, Islam, Rafiqul and Yearwood, John Leighton 2017, A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression, Concurrency computation, vol. 29, no. 23, Special Issue, pp. 1-18, doi: 10.1002/cpe.3912.
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A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression
Special Issue: Combined Special issues on Applications and techniques in information and network security (CSTA2015) and International conference on innovative network systems and applications held under the federated conference on computer science and information systems (FedCSis‐INetSApp2015)
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