Tutorial 04 - Time Series Analytics on RapidMiner

From Version 9.8 on, RapidMiner has included a rich set of time-series operators as part of the system; it is no longer simply an extension from the Market Place. In this tutorial, we have formulated the time-series problem(s) as machine learning problems. It is quite interesting to see how the problem can be formulated and how the dataset can be prepared and augmented with additional, derived attributes. With reasonable familiarity with the time-series functionality of RapidMiner, we were able to respond to the customer request quickly with forecast values and performance numbers.