Multiresolution Motif Discovery in Time Series

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V – Experimental Analysis Real applications • We have applied MrMotif to real data from: • Protein unfolding • Sensor networks monitoring • Telecommunication network operator Nuno Castro and Paulo Azevedo 04/30/2010
VI – Conclusions • We have introduced MrMotif to find motifs in time series: • Fast • Space-efficient • Intuitive • Robust to noise • Easy to use • Straightforward • Reproducible 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: V - Experimental Analysis Experimen
Page 29 and 30: Thank you for your attention! • C
Page 31: On similarity Nuno Castro and Paulo

Multiresolution Motif Discovery in Time Series

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