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A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market
A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market
Summary
A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market is a scholarly article[1].
Key Facts
A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market's instance of is recorded as scholarly article[2].
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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). A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-gradient-boosting-decision-tree-approach-for-insider-trading-identification-an-empirical-model-evaluation-of-china-sto
MLA“A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-gradient-boosting-decision-tree-approach-for-insider-trading-identification-an-empirical-model-evaluation-of-china-sto.
BibTeX@misc{4ortxyz_a-gradient-boosting-decision-tree-approach-for-insider-trading-identification-an-empirical-model-evaluation-of-china-sto_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market}}, year = {2026}, url = {https://4ort.xyz/entity/a-gradient-boosting-decision-tree-approach-for-insider-trading-identification-an-empirical-model-evaluation-of-china-sto}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market — https://4ort.xyz/entity/a-gradient-boosting-decision-tree-approach-for-insider-trading-identification-an-empirical-model-evaluation-of-china-sto (retrieved 2026-05-24)
