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Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources

Research article (Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2018) · cited 79× · AI/ML
academia openalex:W2795138333
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Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources

Summary

Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources is a scholarly article[1].

Key Facts

  • Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-urban-anomalies-using-multiple-spatio-temporal-data-sources
MLA “Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-urban-anomalies-using-multiple-spatio-temporal-data-sources.
BibTeX @misc{4ortxyz_detecting-urban-anomalies-using-multiple-spatio-temporal-data-sources_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-urban-anomalies-using-multiple-spatio-temporal-data-sources}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources — https://4ort.xyz/entity/detecting-urban-anomalies-using-multiple-spatio-temporal-data-sources (retrieved 2026-05-24)

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