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Jul 1, 2012 · We design a hybrid feature selection algorithm named WSU_AUC, which prefilters most of features with WSU metric and further uses a wrapper method to select ...
We design a hybrid feature selection algorithm named WSU_AUC, which prefilters most of features with WSU metric and further uses a wrapper method to select ...
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Jul 22, 2020 · In this article, we present a systematic approach to optimizing feature selection for encrypted traffic classification.
... Through the feature selection process, we are able to remove all the redundant and noisy traffic features, leaving only the useful set of features in a ...
Optimizing Traffic Classification Using Hybrid Feature Selection. Abstract: The identification of network applications is of fundamental important to numerous ...
traffic identification feature is compared with classifier build by feature subset. ... Optimizing traffic classification using hybrid fea- ture selection. In: ...
This work develops a hybrid feature selection algorithm named WMI_ACC, which filters most of the features with WMI metric, and uses a wrapper method to ...
A stable feature selection approach for optimizing traffic classification based on adaptive threshold. Authors. Wenbei Duan, Yuanli Wang. Corresponding Author.
Jul 1, 2012 · A novel feature selection metric named Weighted Symmetrical Uncertainty (WSU) is proposed. We design a hybrid feature selection algorithm named WSU_AUC.
In this paper, the optimization of feature selection to traffic identification is demonstrated in two traces which are captured from different time and location ...