Title

Anomaly detection methods for categorical data: A review

Author's Department

Mathematics & Actuarial Science Department

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https://doi.org/10.1145/3312739

Document Type

Research Article

Publication Title

ACM Computing Surveys

Publication Date

5-1-2019

doi

10.1145/3312739

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