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Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees

Research article (Water, 2020) · cited 10× · AI/ML
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Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees

Summary

Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees is a scholarly article[1].

Key Facts

  • Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees's instance of is recorded as scholarly article[2].

Related Entities

Huan Liu

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-pattern-anomalies-in-hydrological-time-series-with-weighted-probabilistic-suffix-trees
MLA “Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-pattern-anomalies-in-hydrological-time-series-with-weighted-probabilistic-suffix-trees.
BibTeX @misc{4ortxyz_detecting-pattern-anomalies-in-hydrological-time-series-with-weighted-probabilistic-suffix-trees_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-pattern-anomalies-in-hydrological-time-series-with-weighted-probabilistic-suffix-trees}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting Pattern Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix Trees — https://4ort.xyz/entity/detecting-pattern-anomalies-in-hydrological-time-series-with-weighted-probabilistic-suffix-trees (retrieved 2026-05-24)

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