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Feature selection is the important preprocessing step to affect the performance of data mining. Ttimum. Besides that, hybrid algorithms maintain the advantages ...
Feature selection is the important preprocessing step to affect the performance of data mining. Ttimum. Besides that, hybrid algorithms maintain the advantages ...
Abstract—Data mining is one of the fastest-growing research domains in the information industry as a result of the wide availability of numerous data.
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This paper proposes Information Gain binary Butterfly Optimization Algorithm (IG-bBOA), to overcome the S-bBOA constraints firstly.
Jun 15, 2022 · This paper introduces a novel hybrid approach called the Iterative Feature Selection using Dynamic Butterfly Optimization-based Interaction ...
Jan 2, 2024 · This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf ...
Oct 13, 2022 · In this paper, an efficient hybrid feature selection method (HFIA) based on artificial immune algorithm optimization is proposed to solve the feature selection ...
Sep 5, 2023 · We propose a highly effective approach, called Nested Ensemble Selection (NES), that is based on a combination of filter and wrapper methods.
Feb 1, 2024 · This study proposes a sequential feature selection approach using an optimized extreme learning machine (ELM) with an SVM (support vector machine) classifier.
This paper proposes a novel hybrid genetic algorithm for feature selection. Local search operations are devised and embedded in hybrid GAs to fine-tune the ...