"FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a ..."

Quang Hieu Vu et al. (2024)

> Home

Details and statistics

DOI: 10.15439/2024F7856

access: open

type: Conference or Workshop Paper

metadata version: 2024-12-04

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - conf/fedcsis/VuRCL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/fedcsis/VuRCL24
Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu:
FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. FedCSIS (Communication Papers) 2024: 185-190

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.