这种技术在两个数据源公共的指定元素上对数据进行分组，然后估计其他数据元素的相同程度或差异程度。
This is a technique that applies a grouping of data on specified elements common to two data sources and then evaluates additional data elements for a level of commonality or distinctness.
基于该融合公式，证明了在单传感器系统中，当样本观测值一定时，分组数据融合的估计效果优于单组算术平均的估计效果；
In a single sensor system when the sample amount is constant, the estimation result of data fusion to subdivided into groups is superior to arithmetic average of single group.
通过分析数据源nlanr给出的真实网络流量数据，比较SCV和分组数的预测效果，以及对网络流量估计的影响。
It makes a comparison between the SCV and packet number prediction effect of real traffic load of NLANR and the effect on the total traffic load estimation.
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