Developing a decision support system to detect material weaknesses in internal control

Keyphrases

• Decision Support System 100%
• Internal Control Material Weakness 100%
• Material Weakness 100%
• Wells Fargo 100%
• Proposed Methodology 66%
• Internal Control 66%
• Information Fusion 33%
• Support Vector Machine 33%
• Management Actions 33%
• Optimization Approach 33%
• Scandal 33%
• Genetic Algorithm 33%
• Fraud 33%
• Firm-specific 33%
• Web Tool 33%
• Machine Learning Techniques 33%
• Early Warning System 33%
• Design Science Research 33%
• Multiple Risk Factors 33%
• Imbalanced Data 33%
• Synthetic Minority 33%
• Oversampling Technique 33%
• Web-based Decision Support System 33%
• Risk Category 33%
• Learning Problems 33%
• Predictive Framework 33%
• Specific Material 33%
• Hybrid Genetic Algorithm 33%
• K-fold Cross-validation 33%
• Misstatement 33%
• Hybrid Metaheuristic 33%
• IT Artifact 33%
• Internal Control Risk 33%
• Heuristic Optimization 33%

Engineering

• Support System 100%
• Genetic Algorithm 100%
• Sampling Technique 50%
• Risk Category 50%
• Design Science Research 50%
• Management Action 50%
• Learning System 50%
• Support Vector Machine 50%
• Early Warning System 50%

Computer Science

• Decision Support System 100%
• Internal Control 100%
• Support Vector Machine 25%
• Early Warning System 25%
• Learning Problem 25%
• Research Paradigm 25%
• Fold Cross Validation 25%
• Imbalanced Data 25%
• hybrid genetic algorithm 25%
• Sampling Technique 25%
• Machine Learning 25%
• Learning System 25%
• Genetic Algorithm 25%