首页>
外国专利>
IDENTIFYING AND RANKING ANOMALOUS MEASUREMENTS TO IDENTIFY FAULTY DATA SOURCES IN A MULTI-SOURCE ENVIRONMENT
IDENTIFYING AND RANKING ANOMALOUS MEASUREMENTS TO IDENTIFY FAULTY DATA SOURCES IN A MULTI-SOURCE ENVIRONMENT
展开▼
机译:识别和排序异常测量以识别多源环境中的错误数据源
展开▼
页面导航
摘要
著录项
相似文献
摘要
Techniques for identifying anomalous multi-source data points and ranking the contributions of measurement sources of the multi-source data points are disclosed. A system obtains a data point including a plurality of measurements from a plurality of sources. The system determines that the data point is an anomalous data point based on a deviation of the data point from a plurality of additional data points. The system determines a contribution of two or more measurements, from the plurality of measurements, to the deviation of the data point from the plurality of additional data points. The system ranks the at least the two or more measurements, from the plurality of measurements, based on the respective contribution of each of the two or more measurements to the deviation of the anomalous data point from the plurality of prior data points.
展开▼