Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining
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How can we detect fraudulent lockstep behavior in large-scale multi-aspect data (i.e., tensors)? Can we detect it when data are too large to fit in memory or even on a disk? Past studies have shown that dense subtensors in real-world tensors (e.g., social medi... ...