Efficient mining of understandable patterns from multivariate interval time series

  title={Efficient mining of understandable patterns from multivariate interval time series},
  author={Fabian M{\"o}rchen and Alfred Ultsch},
  journal={Data Mining and Knowledge Discovery},
We present a new method for the understandable description of local temporal relationships in multivariate data, called Time Series Knowledge Mining (TSKM). We define the Time Series Knowledge Representation (TSKR) as a new language for expressing temporal knowledge in time interval data. The patterns have a hierarchical structure, with levels corresponding to the temporal concepts duration, coincidence, and partial order. The patterns are very compact, but offer details for each element on… CONTINUE READING
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