Choosing allowability boundaries for describing objects in subject areas
Musulmon Lolaev,
Shavkat Madrakhimov,
Kodirbek Makharov
et al.
Abstract:Anomaly detection is one of the most promising problems for study and can be used as independent units and preprocessing tools before solving any fundamental data mining problems. This article proposes a method for detecting specific errors with the involvement of experts from subject areas to fill knowledge. The proposed method about outliers hypothesizes that they locate closer to logical boundaries of intervals derived from pair features, and the interval ranges vary in different domains. We construct inter… Show more
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