Stock market trend detection and automatic decision-making through a network-based classification model (2021)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; COLLIRI, TIAGO SANTOS - ICMC
- Unidades: FFCLRP; ICMC
- DOI: 10.1007/s11047-020-09829-9
- Subjects: REDES COMPLEXAS; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES; BOLSA DE VALORES
- Keywords: Classification; Trend detection; Trend detection; Stock market
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Natural Computing
- ISSN: 1567-7818
- Volume/Número/Paginação/Ano: v. 20, n. 4, p. 791-804, Dec. 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
COLLIRI, Tiago Santos e LIANG, Zhao. Stock market trend detection and automatic decision-making through a network-based classification model. Natural Computing, v. 20, n. 4, p. 791-804, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11047-020-09829-9. Acesso em: 01 mar. 2026. -
APA
Colliri, T. S., & Liang, Z. (2021). Stock market trend detection and automatic decision-making through a network-based classification model. Natural Computing, 20( 4), 791-804. doi:10.1007/s11047-020-09829-9 -
NLM
Colliri TS, Liang Z. Stock market trend detection and automatic decision-making through a network-based classification model [Internet]. Natural Computing. 2021 ; 20( 4): 791-804.[citado 2026 mar. 01 ] Available from: https://doi.org/10.1007/s11047-020-09829-9 -
Vancouver
Colliri TS, Liang Z. Stock market trend detection and automatic decision-making through a network-based classification model [Internet]. Natural Computing. 2021 ; 20( 4): 791-804.[citado 2026 mar. 01 ] Available from: https://doi.org/10.1007/s11047-020-09829-9 - A network-based model for optimizing returns in the stock market
- An optimized modularity-based high level classification model
- Predicting corruption convictions among brazilian representatives through a voting-history based network
- A network-based high level data classification technique
- Analyzing the Bills-Voting dynamics and predicting corruption-convictions among brazilian congressmen through temporal networks
- Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network
- Avaliação de preços de ações: proposta de um índice baseado nos preços históricos ponderados pelo volume, por meio do uso de modelagem computacional
- Network-based high level classification: novel models and applications
- Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
- Computer-aided music composition with LSTM neural network and chaotic inspiration
Informações sobre o DOI: 10.1007/s11047-020-09829-9 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3015141.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
