Toolkit `com.ibm.streams.timeseries 5.0.1`

Specialized toolkits - release 4.3.1.0-prod20190605 > com.ibm.streams.timeseries 5.0.1

General Information

The operators and functions in the TimeSeries Toolkit condition, analyze, and model time series data.

A time series is a sequence of numerical data that represents the value of an object or multiple objects over time. For example, you can have time series that contain: the monthly electricity usage that is collected from smart meters; daily stock prices and trading volumes; ECG recordings; seismographs; or network performance records. Time series have a temporal order and this temporal order is the foundation of all time series analysis algorithms.

There are three main types of processing that you can perform on time series data in IBM Streams:

Data preprocessing involves reading, repairing, and conditioning time series.
Data analysis involves investigating the underlying information for the time series. For example, analysis operators calculate statistics and correlations, and decompose and transform time series.
Data modeling involves the creation of a model of the time series and the use of that model for prediction or regression.

The toolkit also provides a set of functions that you can see to generate time series for test and validation purposes.