Multiresolution Motif Discovery in Time Series

  title={Multiresolution Motif Discovery in Time Series},
  author={Nuno Castro and Paulo J. Azevedo},
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed to solve the problem. However, these algorithms heavily use expensive random disk accesses or assume the data can fit into main memory. They only consider motifs at a single resolution and are not suited to interactivity. In this work, we tackle the motif discovery problem as an approximate Top-K frequent subsequence… CONTINUE READING
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