Yin Li

FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation

Online fraud is the well-known dark side of the modern Internet. Unsupervised fraud detection algorithms are widely used to address this problem. However, selecting features, adjusting hyperparameters, evaluating the algorithms, and eliminating false positives all require human expert involvement. In this work, we des…