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Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies
Research article (International Journal of Ad Hoc and Ubiquitous Computing, 2020) · cited 47× · AI/ML
Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies
Summary
Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies is a scholarly article[1].
Key Facts
Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies'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). Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies. Retrieved May 24, 2026, from https://4ort.xyz/entity/random-forest-gradient-boosted-machines-and-deep-neural-network-for-stock-price-forecasting-a-comparative-analysis-on-so
MLA“Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/random-forest-gradient-boosted-machines-and-deep-neural-network-for-stock-price-forecasting-a-comparative-analysis-on-so.
BibTeX@misc{4ortxyz_random-forest-gradient-boosted-machines-and-deep-neural-network-for-stock-price-forecasting-a-comparative-analysis-on-so_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies}}, year = {2026}, url = {https://4ort.xyz/entity/random-forest-gradient-boosted-machines-and-deep-neural-network-for-stock-price-forecasting-a-comparative-analysis-on-so}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies — https://4ort.xyz/entity/random-forest-gradient-boosted-machines-and-deep-neural-network-for-stock-price-forecasting-a-comparative-analysis-on-so (retrieved 2026-05-24)
