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Application of Principal Component Analysis for Outlier Detection in Heterogeneous Traffic Data

Research article (Procedia Computer Science, 2016) · cited 25× · AI/ML
academia openalex:W2370466579
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Application of Principal Component Analysis for Outlier Detection in Heterogeneous Traffic Data

Summary

Application of Principal Component Analysis for Outlier Detection in Heterogeneous Traffic Data is a scholarly article[1].

Key Facts

  • Application of Principal Component Analysis for Outlier Detection in Heterogeneous Traffic Data's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Application of Principal Component Analysis for Outlier Detection in Heterogeneous Traffic Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-principal-component-analysis-for-outlier-detection-in-heterogeneous-traffic-data
MLA “Application of Principal Component Analysis for Outlier Detection in Heterogeneous Traffic Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-principal-component-analysis-for-outlier-detection-in-heterogeneous-traffic-data.
BibTeX @misc{4ortxyz_application-of-principal-component-analysis-for-outlier-detection-in-heterogeneous-traffic-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of Principal Component Analysis for Outlier Detection in Heterogeneous Traffic Data}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-principal-component-analysis-for-outlier-detection-in-heterogeneous-traffic-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of Principal Component Analysis for Outlier Detection in Heterogeneous Traffic Data — https://4ort.xyz/entity/application-of-principal-component-analysis-for-outlier-detection-in-heterogeneous-traffic-data (retrieved 2026-05-24)

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