Multiresolution Motif Discovery in Time Series
Multiresolution Motif Discovery in Time Series: MrMotif - ALFA
Multiresolution Motif Discovery in Time Series: MrMotif - ALFA
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
VII – Future work<br />
• <strong>Motif</strong> evaluation and significance measures:<br />
• <strong>Motif</strong>s are typically evaluated <strong>in</strong> a subjective way by<br />
humans<br />
• Objective evaluation measures that rank motifs <strong>in</strong> terms of<br />
significance are necessary<br />
• <strong>Motif</strong>s as build<strong>in</strong>g blocks:<br />
• As motifs can be used to describe the time series, they can<br />
be used as “build<strong>in</strong>g blocks” for other data m<strong>in</strong><strong>in</strong>g tasks:<br />
• Classification<br />
• Abnormality detection<br />
• Forecast<strong>in</strong>g<br />
Nuno Castro and Paulo Azevedo<br />
04/30/2010