在客户领域，存在着大量的时间序列数据。
In the field of customer, there exist a large number of time series data.
时间序列数据集伴随着一个时间上的排序。
如何去除那些失踪的测量在时间序列数据吗？
How to remove subjects who have missing measurements in time series data?
如何检测是否在时间序列数据的变化不再明显？
How to detect if change in time series data is no longer significant?
如何自定义轴当绘制多个时间序列数据在1小组？
How to customize axis when plot multiple time series data in 1 panel?
如何在机器学习的其他属性的处理时间序列数据？
How to handle time series data with other attributes in machine learning?
时间序列数据是以时间为指标的一个随机变量序列。
A time series data set is a sequence of random variables indexed by time.
这是因为面板数据包括时间序列数据和横截面数据。
This is because panel data consist of times series data and cross sectional data.
时间序列数据是以时间为指标的一个随机变量序列。
目前时间序列的数据挖掘是数据挖掘的重要研究热点之一。
Research on time series data mining is one of important hot spots of data mining.
对经过预处理的测试数据进行三次样条插值，得到基本时间序列。
First, the testing data must be interpolated and the basic time series must be built.
而超高频时间序列是市场上每笔交易的实时数据，其中包含了丰富的市场信息。
And ultra high frequency time series is tick-by-tick data, which contain plenty of market information.
股票数据作为经济数据的一种，跟其他经济时间序列一样，具有长记忆性。
The stock data as one of economic data is the same as other economic data, is of long memory.
股票数据作为经济数据的一种，跟其他经济时间序列一样，具有长记忆性。
The stock data as one of economic data is the same as other economic data, is of long memory.
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