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.
IEEE Transactions on Knowledge and Data Engineering 25(3), 556–570 (2013)
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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.