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Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data

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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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institution FRELIP
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publishDate 2026
publishDateSort 2026
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spellingShingle Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data
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 Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data
title_auth Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data
title_full Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data
title_fullStr Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data
title_full_unstemmed Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data
title_short Ensemble-based anomaly detection in Brazilian Parliamentary Expenses using unlabeled public data
title_sort ensemble-based anomaly detection in brazilian parliamentary expenses using unlabeled public data
topic Big data and data science
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s41060-026-01079-9