In the last decades, a wide portfolio of Feature Weighting (FW) methods have been
proposed in the literature. Their main potential is the capability to transform the features in …

Nowadays, breast cancer is reported as one of most common cancers amongst women.
Early detection of this cancer is an essential to aid in informing subsequent treatments. This …

Breast cancer is one of the primary causes of death among the women worldwide, and the
accurate diagnosis is one of the most significant steps in breast cancer treatment. Data …

Feature selection is one of the crucial data preprocessing techniques for improving the
performance of machine learning (ML) models. Recently, metaheuristic feature selection …

In recent years, combining multiple sources or views of datasets for data clustering has been
a popular practice for improving clustering accuracy. As different views are different …

Feature selection is a significant task in the workflow of predictive modeling for data
analysis. Recent advanced feature selection methods are using the power of optimization …

In this paper, we propose a generalized wrapper-based feature selection, called GeFeS,
which is based on a parallel new intelligent genetic algorithm (GA). The proposed GeFeS …

Abstract Support Vector Machines (SVMs) are widely known as an efficient supervised
learning model for classification problems. However, the success of an SVM classifier …

In the world, cancer is listed as the second leading cause of death. Breast cancer is one of
the types that affects women more often than men, and because it has a high mortality rate …

This paper presents the feature extraction, selection and K-Nearest Neighbors (K-NN)
algorithm to classify behaviors of sharks based on the data collected by tri-axial acceleration …