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    A novel rank aggregation-based hybrid multifilter wrapper feature selection method in software defect prediction by Balogun, A.O., Basri, S., Mahamad, S., Capretz, L.F., Imam, A.A., Almomani, M.A., Adeyemo, V.E., Kumar, G.

    Published 2021
    “…In addition, the local optima stagnation and high computational costs of WFS due to large search spaces are inherited by the HFS method. Therefore, as a solution, this study proposes a novel rank aggregation-based hybrid multifilter wrapper feature selection (RAHMFWFS) method for the selection of relevant and irredundant features from software defect datasets. …”
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