| http://www.w3.org/ns/prov#value | - An outlier rule generation method of generating a rule characterizing abnormal data in a data set, comprising a supervised learning step of calculating a degree of outlier indicative of a degree of being abnormal and sampling data based on said degree of outlier to apply a label indicating whether data is abnormal data or not to the sampled data, and generating a rule characterizing abnormal data
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