Some useful circumstances can include restoring data from backups and saving time during an activity where you might have a very small window and availability is not a concern.
一些有用的情况可以帮助您从备份中恢复数据，并且在某些活动(您可能具有很小的窗口，并且不需要考虑可用性)期间节约时间。
Just like the mail delivery data in figure 7, this can clearly show any changes in your clustering activity over time.
正如图7所示的邮件发送数据，这可以清楚展示集群活动随时间变化发生的所有变化。
The data can be strung into time sequences to show the changes in human activity as a city cycles through the workday, the commute home, and nightlife.
这些数据可以按时间顺序进行串联，把人们的生活划分为：工作，回家，夜生活3个阶段，从而表现出他们在这个周期的活动改变。
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