Money laundering (ML) is the behavior to conceal the source of money achievedby illegitimate activities . CubeFlow is a scalable, flow-based approach to spot fraud from a mass of transactions by modeling them as two coupled tensors and applying a novelmulti-attribute metric which can reveal the transfer chains accurately . Extensive experiments show CubeFlow outperforms state-of-the-art baselines in ML behavior detection in both synthetic and real data . The approach is scalable and can be used in real and synthetic data . For confidential support call the Samaritans on 08457 90 90 90, visit a local Samaritans branch or click here for details .

Author(s) : Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng

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Keywords : cubeflow - money - approach - real - data -

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