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AUTOMATED META-PARAMETER SEARCH FOR INVARIANT-BASED ANOMALY DETECTORS IN LOG ANALYTICS
AUTOMATED META-PARAMETER SEARCH FOR INVARIANT-BASED ANOMALY DETECTORS IN LOG ANALYTICS
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机译:对数分析中基于不变的异常检测器的自动元参数搜索
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摘要
Systems and methods for automatically generating a set of meta-parameters used to train invariant-based anomaly detectors are provided. Data is transformed into a first set of time series data and a second set of time series data. A fitness threshold search is performed on the first set of time series data to automatically generate a fitness threshold, and a time resolution search is performed on the set of second time series data to automatically generate a time resolution. A set of meta-parameters including the fitness threshold and the time resolution are sent to one or more user devices across a network to govern the training of an invariant-based anomaly detector.
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