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Dynamic Advisor-Based Ensemble (dynABE): Case study in stock trend prediction of critical metal companies
Stock trend prediction is a challenging task due to the market’s noise, and machine learning techniques have recently been successful in coping with this challenge. In this research, we create a novel framework for stock prediction, Dynamic Advisor-Based Ensemble (dynABE). dynABE explores domain-spe...
Autor principal: | Dong, Zhengyang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386270/ https://www.ncbi.nlm.nih.gov/pubmed/30794608 http://dx.doi.org/10.1371/journal.pone.0212487 |
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