Comparison between SMOTE and SMOTE-ENN in execution time with F-15 and F-10.

<p>Comparison between SMOTE and SMOTE-ENN in execution time with F-15 and F-10.</p>

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Bibliographic Details
Main Author:	Arati Behera (19864844) (author)
Other Authors:	Kshira Sagar Sahoo (19864847) (author), Tapas Kumara Mishra (19864850) (author), Anand Nayyar (8735271) (author), Muhammad Bilal (737265) (author)
Published:	2024
Subjects:	Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified principal component analysis multilayer perceptron classifiers limited computing resources like security threats improved feature selection gaussian naive bayes effective feature selection data imbalance problem current study aims conventional networking approaches address multicollinearity issues two benchmark datasets heterogeneous network protocols nominated features based div >< p study proposes sfmi edited nearest neighbor enhancing ddos detection enn </ p nearest neighbor heterogeneous devices detection rate 2023 datasets relevant features common features training time time information software defined rf ), recent advancement random forest mutual information major challenges k </ exchange real decision tree comprehensive experiments classification purposes
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