[PDF][PDF] An efficient hybrid classifier model for anomaly intrusion detection system
Ensuring security has always been a challenging problem for both customized network
solutions and information systems. Intrusion Detection System (IDS) is playing a very …
solutions and information systems. Intrusion Detection System (IDS) is playing a very …
Combining machine learning and metaheuristics algorithms for classification method PROAFTN
The supervised learning classification algorithms are one of the most well known successful
techniques for ambient assisted living environments. However the usual supervised learning …
techniques for ambient assisted living environments. However the usual supervised learning …
[PDF][PDF] Classification for intrusion detection with different feature selection methods: a survey (2014–2016)
RF Najeeb, BN Dhannoon - International Journal of Advanced …, 2017 - researchgate.net
Gigantic development in system based services had brought about the upsurge of web
users, security dangers and digital assaults. Intrusion detection systems (IDSs) have turned …
users, security dangers and digital assaults. Intrusion detection systems (IDSs) have turned …
PROAFTN Classifier for Feature Selection with Application to Alzheimer Metabolomics Data Analysis
N Belacel, M Cuperlovic-Culf - International Journal of Pattern …, 2019 - World Scientific
Early and accurate Alzheimer's disease (AD) diagnosis remains a challenge. Recently,
increasing efforts have been focused towards utilization of metabolomics data for the …
increasing efforts have been focused towards utilization of metabolomics data for the …