… In this paper, a novel feature selection algorithm is … Feature Importance-based Feature
Selection (DFIFS), which dynamically selects features according to their Dynamic Feature …

… , one feature selection method was … techniques of feature selection based on each EA-based
algorithm. For a fair evaluation, all of the methods examined in this section were selected …

… In this paper we proposed a new wrapper based feature selection method ”Tabu Search -
… review on feature selection techniques for network based IDS dataset. We selected notable …

… There exist so many feature selection approaches based on the filter for text classification
in … For testing the efficiency of the novel method PRFS, five well-known feature selection …

… paper makes some improvements on support vector machine, and proposes a hybrid model
integrated with intelligent methods for feature selection and parameter optimization. Firstly, …

… feature selection approach to solve a feature selection problem by enhancing search space
performance. To evaluate the new feature selection method's … number of features are used …

… Breast cancer diagnosis based on an SVM approach and feature selection was proposed
by Akay [15]. The Wisconsin breast cancer dataset (WBCD) was utilized to justify the …

… Many researchers applied data mining methods to diagnosing disease. This research performs
an Artificial Neural Network (ANN) method with a metaheuristics-based feature selection …

… method proposed in the current study utilizes the RE driven feature selection in order to
determine the optimal feature … the weight of each of the extracted deep features. The RE is a filter-…

… Accordingly, EKNN can accurately detect infected patients with the minimum time penalty
based on those significant features selected by HFSM technique. Extensive experiments have …