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Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data
Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data
Summary
Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data is a scholarly article[1].
Key Facts
Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-one-class-support-vector-machine-to-quickly-identify-multivariate-anomalies-from-geochemical-exploration-
MLA“Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-one-class-support-vector-machine-to-quickly-identify-multivariate-anomalies-from-geochemical-exploration-.
BibTeX@misc{4ortxyz_application-of-one-class-support-vector-machine-to-quickly-identify-multivariate-anomalies-from-geochemical-exploration-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-one-class-support-vector-machine-to-quickly-identify-multivariate-anomalies-from-geochemical-exploration-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data — https://4ort.xyz/entity/application-of-one-class-support-vector-machine-to-quickly-identify-multivariate-anomalies-from-geochemical-exploration- (retrieved 2026-05-24)
