Home ›
Entities
› academia
› Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China
Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China
Research article (Applied Geochemistry, 2020) · cited 51× · AI/ML
Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China
Summary
Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China is a scholarly article[1].
Key Facts
Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China. Retrieved May 24, 2026, from https://4ort.xyz/entity/indicator-element-selection-and-geochemical-anomaly-mapping-using-recursive-feature-elimination-and-random-forest-method
MLA“Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/indicator-element-selection-and-geochemical-anomaly-mapping-using-recursive-feature-elimination-and-random-forest-method.
BibTeX@misc{4ortxyz_indicator-element-selection-and-geochemical-anomaly-mapping-using-recursive-feature-elimination-and-random-forest-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China}}, year = {2026}, url = {https://4ort.xyz/entity/indicator-element-selection-and-geochemical-anomaly-mapping-using-recursive-feature-elimination-and-random-forest-method}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China — https://4ort.xyz/entity/indicator-element-selection-and-geochemical-anomaly-mapping-using-recursive-feature-elimination-and-random-forest-method (retrieved 2026-05-24)
