The choice of anomaly detection method for educational data

A.S. Kuznetsov, E.Y. Semenov

Abstract


This paper discusses the selection of data mining methods for educational data. The authors describe the efficiency estimation problem for anomaly detection methods in case of impossibility of objects a priori classification. In the paper proposed a verified model of choosing anomaly detection method based on the statistical evaluation of the output.


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References


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ISSN: 2307-8162