Welcome to the Monash, UEA & UCR
Time Series Extrinsic Regression Repository

This website aims to support research into Time Series Extrinsic Regression (TSER), a regression task of which the aim is to learn the relationship between a time series and a continuous scalar variable a task closely related to time series classification (TSC), which aims to learn the relationship between a time series and a categorical class label. We recommend you to read the paper for a detailed discussion of the datasets and their sources. If you use the results or code, please cite the paper "Chang Wei Tan, Christoph Bergmeir, Francois Petitjean, Geoffrey I. Webb, Time Series Extrinsic Regression: Predicting numeric values from time series data".

            @article{
              Tan2020TSER,
              title={Time Series Extrinsic Regression}, 
              author={Tan, Chang Wei and Bergmeir, Christoph and Petitjean, Francois and Webb, Geoffrey I},
              journal={Data Mining and Knowledge Discovery},
              pages={1--29},
              year={2021},
              publisher={Springer},
              doi={https://doi.org/10.1007/s10618-021-00745-9}
            }
          

If you just use the website, please reference the website as:

Chang Wei Tan, Christoph Bergmeir, Francois Petitjean, Daniel Schmidt, Geoffrey I. Webb, Anthony Bagnall, & Eamonn Keogh (2020). The Monash, UEA & UCR Time Series Extrinsic Regression Archive. URL http://tseregression.org/.