Multiresolution Motif Discovery in Time Series

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VII – Future work • Motif evaluation and significance measures: • Motifs are typically evaluated in a subjective way by humans • Objective evaluation measures that rank motifs in terms of significance are necessary • Motifs as building blocks: • As motifs can be used to describe the time series, they can be used as “building blocks” for other data mining tasks: • Classification • Abnormality detection • Forecasting Nuno Castro and Paulo Azevedo 04/30/2010
Thank you for your attention! • Contact: castro@di.uminho.pt • MrMotif Web site (executable, source code and datasets): www.di.uminho.pt/~castro/mrmotif Nuno Castro and Paulo Azevedo 04/30/2010
Page 1 and 2: Tenth SIAM International Conference
Page 3 and 4: I - Motif Definition • Motifs, al
Page 5 and 6: III - Related work limitations •
Page 7 and 8: IV - Our algorithm • We propose a
Page 9 and 10: IV - Our algorithm - Problem defini
Page 11 and 12: IV - Our algorithm Problem definiti
Page 13 and 14: IV - Our algorithm Properties • M
Page 15 and 16: IV - Our algorithm - Properties Mul
Page 17 and 18: IV - Our algorithm - Properties Spa
Page 19 and 20: V - Experimental Analysis • Scala
Page 21 and 22: V - Experimental Analysis - Scalabi
Page 23 and 24: V - Experimental Analysis - Scalabi
Page 25 and 26: V - Experimental Analysis Experimen
Page 27: VI - Conclusions • We have introd
Page 31: On similarity Nuno Castro and Paulo

Multiresolution Motif Discovery in Time Series

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