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See Matrix Profile XXI: MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives. Takaaki Nakamura, Makoto Imamura, Ryan Mercer and Eamonn Keogh. ICDM 2020 [pdf,author's Matlab reference implementation]
Key benefit (as per paper authors):
Existing MP detects anomalies as a by-product of the motif discovery process of MP. Therefore existing MP is more computationally intensive than is required if your goal is anomaly detection rather than motifs.
The text was updated successfully, but these errors were encountered:
See Matrix Profile XXI: MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives. Takaaki Nakamura, Makoto Imamura, Ryan Mercer and Eamonn Keogh. ICDM 2020 [pdf,author's Matlab reference implementation]
Key benefit (as per paper authors):
Existing MP detects anomalies as a by-product of the motif discovery process of MP. Therefore existing MP is more computationally intensive than is required if your goal is anomaly detection rather than motifs.
The text was updated successfully, but these errors were encountered: