Time series feature engineering with INGV Volcano prediction competition data:

https://www.kaggle.com/c/predict-volcanic-eruptions-ingv-oe

The goal of the competition is the build a regression model that can accurately identify time to an eruption event using time series recordings from 10 sensors.

Summary:

+ Some of the sensors don't have any data. These are filled with zeros.
+ Overall strategy is to build features using the time series data that will be used by a model.
+ Approach highlighted here is based on dynamic mode decomposition.

References:

• http://www.databookuw.com/
• http://dmdbook.com/