Identifying outliers from data set aims at researching on the small pattern of data set.
对孤立点的识别就是对数据集小模式的研究。
The speed of mining outliers from dataset is slow. According to the characteristic of grid, fast outliers mining algorithm was proposed by partitioning the data into a set of units cell firstly.
针对数据集中离群数据的挖掘速度的问题，提出了快速的基于单元格的离群数据挖掘算法。
The reason why the graph displays these values as outliers is that due to the calculations that take place behind the scenes these values are deemed too distant from the majority of the data.
为什么图将这些值显示为异常值的原因，在于在这样一幅场景的背后存在这样一种考虑，就是这些值远离了大多数的数据。
Based on the relationship of these two variables, we derive outliers from our sample data.
基于这两个变量之间的关系，我们从我们的样本数据中得出的异常值。
Excluding data outliers, the deviation from the normal data filtering, to reach the desired data results.
说明：剔除数据异常值，将偏离正常值的数据滤除，使其达到所需的数据效果。
Finally, the problems of how to pick out outliers from the traffic data and how to forecast traffic flow are discussed.
最后介绍了如何找出话务数据中的野值点和如何预测话务量。
Finally, the problems of how to pick out outliers from the traffic data and how to forecast traffic flow are discussed.
最后介绍了如何找出话务数据中的野值点和如何预测话务量。
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