most citedCategorical anomaly detection in heterogeneous data using minimum description length clustering

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cs.DB2020★ 1 cited

Categorical anomaly detection in heterogeneous data using minimum description length clustering

James Cheney, Xavier Gombau, Ghita Berrada +1

Fast and effective unsupervised anomaly detection algorithms have been proposed for categorical data based on the minimum description length (MDL) principle. However, they can be i…