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FRM-Miner: efficient motif discovery in large collections of time series

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Bibliographic Details
Published in:International Journal of Data Science and Analytics
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Data Science and Analytics
description
discipline_display Big data and data science
discipline_facet Big data and data science
format Online Article
RSS Article
genre Journal Article
id rss_article:100845
institution FRELIP
journal_source_facet International Journal of Data Science and Analytics
last_indexed 2026-07-08T03:43:26.021Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle FRM-Miner: efficient motif discovery in large collections of time series
Big data and data science
General
Big data and data science
sub_discipline_display General
sub_discipline_facet General
subject_display Big data and data science
General
Big data and data science
subject_facet Big data and data science
General
Big data and data science
title FRM-Miner: efficient motif discovery in large collections of time series
title_alt FRM-Miner: descubrimiento eficiente de motivos en grandes colecciones de series temporales
FRM-Miner : découverte efficace de motifs dans de grandes collections de séries temporelles
FRM-Miner: descoberta eficiente de motivos em grandes coleções de séries temporais
title_auth FRM-Miner: efficient motif discovery in large collections of time series
title_es_txt FRM-Miner: descubrimiento eficiente de motivos en grandes colecciones de series temporales
title_fr_txt FRM-Miner : découverte efficace de motifs dans de grandes collections de séries temporelles
title_full FRM-Miner: efficient motif discovery in large collections of time series
title_fullStr FRM-Miner: efficient motif discovery in large collections of time series
title_full_unstemmed FRM-Miner: efficient motif discovery in large collections of time series
title_pt_txt FRM-Miner: descoberta eficiente de motivos em grandes coleções de séries temporais
title_short FRM-Miner: efficient motif discovery in large collections of time series
title_sort frm-miner: efficient motif discovery in large collections of time series
topic Big data and data science
General
Big data and data science
url https://link.springer.com/article/10.1007/s41060-026-01181-y