首页>
外国专利>
FALSE POSITIVE REDUCTION IN ABNORMALITY DETECTION SYSTEM MODELS
FALSE POSITIVE REDUCTION IN ABNORMALITY DETECTION SYSTEM MODELS
展开▼
机译:异常检测系统模型中的假阳性减少
展开▼
页面导航
摘要
著录项
相似文献
摘要
The subject matter disclosed herein provides methods, apparatus, systems, techniques, and articles for false positive reduction in abnormality detection models. A date and time of a first transaction by a transaction entity and associated with a transaction characteristic can be stored. Data representing subsequent transactions associated with the transaction characteristic can be stored. A history marker profile specific to the transaction characteristic and transaction entity can be generated and can include the transaction characteristic, the date and time of the first transaction, and maximum and mean abnormality scores. A date and time of a current transaction can be determined. A current abnormality score for the current transaction can be received. A tenure of the observed transaction characteristic can be computed. The current abnormality score can be recalibrated from the transaction entity abnormality detection system according to the maximum, mean, and current abnormality scores and a length of the tenure.
展开▼