EMeriTAte+DF converts multivariate time series into polyadic event logs, mines explainable dataful declarative rules, and uses them to classify time series with strong but not universal benchmark results.
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Towards Explainable Sequential Learning
EMeriTAte+DF converts multivariate time series into polyadic event logs, mines explainable dataful declarative rules, and uses them to classify time series with strong but not universal benchmark results.