1·Time series data set comes with a temporal ordering.
时间序列数据集伴随着一个时间上的排序。
2·Returns predicted future or historical values for time series data.
返回时序数据的将来或历史的预测值。
3·How to detect if change in time series data is no longer significant?
如何检测是否在时间序列数据的变化不再明显？
4·How to customize axis when plot multiple time series data in 1 panel?
如何自定义轴当绘制多个时间序列数据在1小组？
5·A time series data set is a sequence of random variables indexed by time.
时间序列数据是以时间为指标的一个随机变量序列。
6·In the field of customer, there exist a large number of time series data.
在客户领域，存在着大量的时间序列数据。
7·How to remove subjects who have missing measurements in time series data?
如何去除那些失踪的测量在时间序列数据吗？
8·Research on time series data mining is one of important hot spots of data mining.
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。
9·Time series data is continuous and can be stored in a nested table or in a case table.
时序数据是连续的，可以存储在嵌套表或事例表中。
10·RRDtool is an open source, high performance data logging and graphing system for time series data.
RRDtool 是一个开放源码的高性能数据日志记录和绘图系统，用于处理时间系列数据。