Distributed and parallel time series feature extraction for industrial big data applications

3 code implementations • 25 Oct 2016 • Maximilian Christ, Andreas W. Kempa-Liehr, Michael Feindt

This problem is especially hard to solve for time series classification and regression in industrial applications such as predictive maintenance or production line optimization, for which each label or regression target is associated with several time series and meta-information simultaneously.

Binary Classification Classification +7