Ensemble Approach Using k-Partitioned Isolation Forests for the Detection of Stock Market Manipulation

Stock market manipulation, defined as any attempt to artificially influence stock prices, poses significant challenges by causing financial losses and eroding investor trust. The prevalent reliance on supervised learning models for detecting such manipulations, while showing promise, faces notable h...

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Detalhes bibliográficos

Principais autores:	Hugo Núñez Delafuente, César A. Astudillo, David Díaz
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-04-01
coleção:	Mathematics
Assuntos:	stock market manipulation unsupervised learning voting ensemble anomaly detection isolation forest
Acesso em linha:	https://www.mdpi.com/2227-7390/12/9/1336
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