TSFuse
Python package for automatically constructing features from multi-view time series data.
Description:
TSFuse is a Python package for automatically constructing features from multiple time series. Instead of extracting univariate time series features, TSFuse generates new series by applying time series fusion operations.
More Information:
- Grand Challenge/Workpackage(s): GC1 - WP1, WP2
- Responsible Research Lead: Jesse Davis
- Authors: Arne De Brabandere
- Programming Language: Python
- Link to the repository
- Categories: Time series, supervised learning, anomaly detection
Publications:
- Arne De Brabandere, Pieter Robberechts, Tim Op De Beéck and Jesse Davis. Automating Feature Construction for Multi-View Time Series Data. ECML/PKDD Workshop on Automating Data Science 2019.
