Statistical Detection Of Collective Data Fraud

@article{Wang2020StatisticalDO,
  title={Statistical Detection Of Collective Data Fraud},
  author={Ruoyu Wang and Daniel W. Sun and Guoqiang Li},
  journal={2020 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2020},
  pages={1-6}
}
Statistical divergence is widely applied in multimedia processing, basically due to regularity and interpretable features displayed in data. However, in a broader range of data realm, these advantages may no longer be feasible, and therefore a more general approach is required. In data detection, statistical divergence can be used as a similarity measurement based on collective features. In this paper, we present a collective detection technique based on statistical divergence. The technique… Expand

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