HIGHLIGHTS
- who: Financial Statement Fraud Detection and collaborators from the of Economics and, Hebei University of Technology, Tianjin, China have published the paper: FinancialufffdStatementufffdFraudufffdDetectionufffdbasedufffdonufffd IntegratedufffdFeatureufffdSelectionufffdandufffdImbalanceufffdLearningufffd, in the Journal: (JOURNAL)
- what: The data mining technology this paper proposes an integrated feature selection method to construct the feature system of listed companies uses the SMOTE algorithm to solve the class unbalanced distribution problem and combines the machine learning algorithm models to construct the model. the real data of Chinese listed companies the empirical analysis is conducted to provide support for the auditors. To verify the effect of the . . .
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