Time series anomaly detection based on shapelet learning

DOI10.1007/s00180-018-0824-9zbMath1505.62059OpenAlexW2884490924WikidataQ129560047 ScholiaQ129560047MaRDI QIDQ2319471

Laura Beggel, Bernhard X. Kausler, Martin Schiegg, Michael Pfeiffer, Bernd Bischl

Publication date: 19 August 2019

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-018-0824-9

zbMATH Keywords

unsupervised learningfeature learningsupport vector data descriptionblock-coordinate descent

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Proceedings of Reisensburg 2016--2017 ⋮ A new measure between sets of probability distributions with applications to erratic financial behavior

Uses Software

• alphahull
• GitHub
• Anomalous

Cites Work

• Support vector data description
• Finding anomalous periodic time series
• Time-series data mining
• Unnamed Item
• Unnamed Item

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