Corpus ID: 10349459

DEWS 2006 4 A-i 13 Unsupervised Fraud Detection in Time Series data

@inproceedings{Ferdousi2006DEWS24,
  title={DEWS 2006 4 A-i 13 Unsupervised Fraud Detection in Time Series data},
  author={Z. Ferdousi and Akira Maeda},
  year={2006}
}
Fraud detection is of great importance to financial institutions. This paper is concerned with the problem of finding outliers in time series financial data using Peer Group Analysis (PGA), which is an unsupervised technique for fraud detection. The objective of PGA is to characterize the expected pattern of behavior around the target sequence in terms of the behavior of similar objects, and then to detect any difference in evolution between the expected pattern and the target. The tool has… Expand

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