Extracting Interpretable Features for Early Classification on Time Series

  title={Extracting Interpretable Features for Early Classification on Time Series},
  author={Zhengzheng Xing and Jian Pei and Philip S. Yu and Ke Wang},
Early classification on time series data has been found highly useful in a few important applications, such as medical and health informatics, industry production management, safety and security management. While some classifiers have been proposed to achieve good earliness in classification, the interpretability of early classification remains largely an open problem. Without interpretable features, application domain experts such as medical doctors may be reluctant to adopt early… CONTINUE READING
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