SilIF blends Isolation Forest path lengths with silhouette scores from clustered fingerprints, yielding +0.008 AUC-PR gain on IEEE-CIS fraud data but no gain on synthetic credit-card data.
Applied machine learning to anomaly detection in enterprise purchase processes,
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SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection
SilIF blends Isolation Forest path lengths with silhouette scores from clustered fingerprints, yielding +0.008 AUC-PR gain on IEEE-CIS fraud data but no gain on synthetic credit-card data.