From: Healthcare insurance fraud detection using data mining
Study reference | Labeling approach | Techniques used |
---|---|---|
LEIE | Random Forest, C4.5, SVM, Logistic Regression | |
LEIE | Logistic Regression, Gradient Tree Boosting | |
Fan et al. [48] | LEIE | Logistic Regression, Naïve Bayes, Decision Tree |
Ekin et al. [49] | Unsupervised | PCA, RWO, co-clustering |
Sadiq et al. [50] (2017) | PRIM | bump hunting |
Sadiq et al. [51] (2019) | unsupervised | Cascaded Propensity Matching (CPM) Fraud Miner |
Zafari and Ekin [52] | Unsupervised | Topic modeling, outlier detection |
Ekin et al. [53] (2019) | Unsupervised | Bayesian model, Gibbs sampling |