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Article

Suspicious Behavior Detection: Current Trends and Future Directions

Meng JiangTsinghua UniversityPeng CuiTsinghua UniversityChristos FaloutsosCarnegie Mellon University
2016en
ABI

Abstract

Different real-world applications have varying definitions of suspicious behaviors. Detection methods often look for the most suspicious parts of the data by optimizing scores, but quantifying the suspiciousness of a behavioral pattern is still an open issue.

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Citations and references

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