Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine learning literature. This paper aims to construct robust support vector machine classifiers under feature data...

Overview of Digital Finance Anti Fraud Vertical Association Modeling: Latent Interaction Modeling -- Horizontal Association Modeling: Deep Relation Modeling -- Explicable Integration Techniques: Relative Temporal Position Taxonomy -- Multidimensional Behavior Fusion: Joint Probabilistic...

Purpose This paper aims to explore the effectiveness of an artificial neural network (ANN) in predicting fraudulent financial reporting in small market capitalization companies in Malaysia. Design/methodology/approach Based on the concepts of ANN, a mathematical model was developed to compare...