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A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization

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Published in:JDSA
Format: Online Article RSS Article
Published: 2026
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discipline_display Technology & Engineering
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publishDate 2026
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spellingShingle A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization
Big data and data science
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Big data and data science
Technology & Engineering — Computing
Technology & Engineering
Big data and data science
Technology & Engineering — Computing
Technology & Engineering
subject_facet Big data and data science
Technology & Engineering — Computing
Technology & Engineering
title A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization
title_auth A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization
title_full A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization
title_fullStr A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization
title_full_unstemmed A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization
title_short A three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization
title_sort a three-stage feature selection method based on pareto-guided collaborative filtering and two-layer particle swarm optimization
topic Big data and data science
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s41060-026-01093-x