| http://www.w3.org/ns/prov#value | - determined not to be abnormal data, sampling the data based on said degree of outlier calculated, generating a new rule characterizing abnormal data by supervised learning based on a set of said respective data to which a label indicating whether data is abnormal data or not is applied and adding the new rule to said held set of rules to update the rules. 22.
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