Abstract: Class imbalanced classification presents a considerable difficulty in machine learning, as conventional algorithms typically exhibit bias towards the majority class, compromising minority ...
Abstract: This paper proposes a hybrid modeling approach that integrates the Autoregressive Integrated Moving Average (ARIMA) model with Support Vector Machine (SVM), aiming to address the limitations ...