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Outlier determination rule generation device and outlier detection device, and outlier determination rule generation method and outlier detection method thereof

机译:离群值确定规则生成装置和离群值检测设备,以及离群点确定规则生成方法和离群值检测方法

摘要

An outlier detection device for detecting abnormal data in a data set an outlier rule preservation unit, a filtering unit, a degree of outlier calculation unit, a sampling unit, and a supervised learning unit. The supervised learning unit generates a new rule characterizing abnormal data by supervised learning based on a set of the respective data to which a label indicating whether data is abnormal data or not is applied. The new rule is added to the set of rules held in the outlier rule preservation unit to update the rules. The filtering unit uses the rules for determining whether each data of the data set is abnormal or not. The abnormal data is compared to normal data for calculating a degree of abnormality by the degree of outlier calculation unit.
机译:用于检测数据集中的异常数据的异常值检测设备,异常值规则保存单元,过滤单元,异常值程度计算单元,采样单元和监督学习单元。监督学习单元基于一组各自的数据,通过监督学习,生成表征异常数据的新规则,在所述各个数据上施加了指示数据是否为异常数据的标签。将新规则添加到离群规则保存单元中保存的规则集中,以更新规则。过滤单元使用规则确定数据集中的每个数据是否异常。通过离群值计算单元将异常数据与正常数据进行比较以计算异常度。

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