A financial statement fraud model based on synthesized attribute selection and a dataset with missing values and imbalanced classes.
Ching-Hsue ChengYung-Fu KaoHsien-Ping LinPublished in: Appl. Soft Comput. (2021)
Keyphrases
- missing values
- attribute selection
- imputation methods
- missing data
- fraud detection
- decision tree induction
- decision trees
- data imputation
- incomplete data
- classification models
- high dimensional data
- information gain
- anomaly detection
- feature selection
- missing attribute values
- outlier detection
- support vector
- data mining methods
- pattern recognition
- naive bayes
- data analysis
- similarity measure
- face recognition
- machine learning
- data mining