Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping

Research article (Journal of Intelligent Information Systems, 2020) · cited 15× · AI/ML
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Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping

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Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-segmentation-based-methods-for-anomaly-detection-in-static-and-streaming-time-series-under-dynamic-time-warpin
MLA “Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-segmentation-based-methods-for-anomaly-detection-in-static-and-streaming-time-series-under-dynamic-time-warpin.
BibTeX @misc{4ortxyz_efficient-segmentation-based-methods-for-anomaly-detection-in-static-and-streaming-time-series-under-dynamic-time-warpin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-segmentation-based-methods-for-anomaly-detection-in-static-and-streaming-time-series-under-dynamic-time-warpin}, note = {Accessed: 2026-05-24}}
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