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Judul	Sitasi	Tahun
A Comparative Analysis of Machine Learning Models for Time Series Forecasting in Finance (Noraini Abu Talib, Rafiq Ahmad, Siti Norbaya Noor) DOI : 10.62951/ijamc.v1i2.71 - Volume: 1, Issue: 2, Sitasi : 0 30-Apr-2024 \| Abstrak \| PDF File \| Resource \| Last.13-Aug-2025 Abstrak: This study compares different machine learning models for time series forecasting in financial data analysis. Models including ARIMA, LSTM, and GRU are applied to predict stock price movements. We measure the accuracy and computational efficiency of each model on various datasets and discuss their strengths and weaknesses in financial forecasting contexts. The findings suggest that deep learning models show significant improvement in capturing complex temporal patterns over traditional methods.	0	2024