Stacked-SVM
Qingqing Chang, Shaofu Lin, Xiliang Liu · 2019
Recent years witnesses the rampancy of telephone fraud along with the development of modern communication technology. The challenges from telephone fraud identification mainly exist in two aspects: (1) the telephone fraud records are typical imbalanced data due to the characteristic of heterogeneous spatial-temporal distribution, leading to bias towards predicting the majority class; (2) traditional evaluation metrics in imbalanced learning mainly rely on accuracy or precision, neglecting the completeness of telephone fraud identification in real-world implementations.