A time-series database consists of sequences of values or events obtained over repeated measurements of time. 时间序列数据库由重复测量时间获得的值或时间序列组成。
The values are typically measured at equal time intervals (e.g., hourly, daily, weekly). 这些值通常以相等的时间间隔(例如，每小时、每天、每周)进行测量。

Applications

  • Stock market analysis
  • economic and sales forecasting
  • inventory studies
  • yield projections
  • workload projections
  • observation of natural phenomena (such as atmosphere, temperature, wind, earthquake)
  • medical treatments

Questions

  • How can we find correlation relationships over sub-sequences of time-series data?
  • How can we analyse huge numbers of time series to find
    • similar or regular patterns,
    • trends,
    • bursts, and
    • outliers