This paper presents an algorithm for outlier detection in distributed data streams.
针对分布式数据流环境，提出基于核密度估计的分布数据流离群点检测算法。
In distributed data streams, the correlation analysis between data streams can be used to detect inner-relation of monitored objects.
在分布式数据流中，数据流之间相关性分析可以揭示被监测对象之间存在的内在联系。
In distributed data streams, the correlation analysis between data streams can be used to detect inner-relation of monitored objects.
在分布式数据流中，数据流之间相关性分析可以揭示被监测对象之间存在的内在联系。
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