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An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity
Research article (Sustainable Cities and Society, 2023) · cited 31× · AI/ML
An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity
Summary
An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity is a scholarly article[1].
Key Facts
An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-unsupervised-method-to-exploit-low-resolution-water-meter-data-for-detecting-end-users-with-abnormal-consumption-empl
MLA“An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-unsupervised-method-to-exploit-low-resolution-water-meter-data-for-detecting-end-users-with-abnormal-consumption-empl.
BibTeX@misc{4ortxyz_an-unsupervised-method-to-exploit-low-resolution-water-meter-data-for-detecting-end-users-with-abnormal-consumption-empl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity}}, year = {2026}, url = {https://4ort.xyz/entity/an-unsupervised-method-to-exploit-low-resolution-water-meter-data-for-detecting-end-users-with-abnormal-consumption-empl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity — https://4ort.xyz/entity/an-unsupervised-method-to-exploit-low-resolution-water-meter-data-for-detecting-end-users-with-abnormal-consumption-empl (retrieved 2026-05-24)
