Work

Stock forecasts based on the XGBoost model

Year: 2024

Type: conference-paper

Source: International Conference on Computer Science and Management Technology (ICCSMT)

DOI: 10.1145/3708036.3708234

Author: Chen Shen

Institution: University of Nottingham Malaysia Campus

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4406667532

FWCI:

Cites: 9

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Related to: 10