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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Skyline queries on data with uncertain dimensions for efficient computation by Mohd Saad, Nurul Husna

“…Both frameworks have been validated through extensive experiments employing real and synthetic datasets. Several independent variables which are scalability, threshold, data distributions, and dimensionality are selected to determine their effects on two dependent variables. …”
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