Automatic time-series phenotyping using massive feature extraction

  title={Automatic time-series phenotyping using massive feature extraction},
  author={B. Fulcher and Nick S. Jones},
  journal={arXiv: Learning},
Across a far-reaching diversity of scientific and industrial applications, a general key problem involves relating the structure of time-series data to a meaningful outcome, such as detecting anomalous events from sensor recordings, or diagnosing patients from physiological time-series measurements like heart rate or brain activity. Currently, researchers must devote considerable effort manually devising, or searching for, properties of their time series that are suitable for the particular… Expand
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