An efficient method for motif and anomaly detection in time series based on clustering

Research article (International Journal of Business Intelligence and Data Mining, 2015) · cited 20× · AI/ML
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An efficient method for motif and anomaly detection in time series based on clustering

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An efficient method for motif and anomaly detection in time series based on clustering is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient method for motif and anomaly detection in time series based on clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-method-for-motif-and-anomaly-detection-in-time-series-based-on-clustering
MLA “An efficient method for motif and anomaly detection in time series based on clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-method-for-motif-and-anomaly-detection-in-time-series-based-on-clustering.
BibTeX @misc{4ortxyz_an-efficient-method-for-motif-and-anomaly-detection-in-time-series-based-on-clustering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient method for motif and anomaly detection in time series based on clustering}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-method-for-motif-and-anomaly-detection-in-time-series-based-on-clustering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient method for motif and anomaly detection in time series based on clustering — https://4ort.xyz/entity/an-efficient-method-for-motif-and-anomaly-detection-in-time-series-based-on-clustering (retrieved 2026-05-24)

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