A disk-aware algorithm for time series motif discovery
Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data mining algorithms including classification, clustering, rule-discovery and summarization. In spite of extensive research i...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Data mining and knowledge discovery. - 2003. - 22(2011), 1-2 vom: 10. Jan., Seite 73-105
|
| 1. Verfasser: |
Mueen, Abdullah
(VerfasserIn) |
| Weitere Verfasser: |
Keogh, Eamonn,
Zhu, Qiang,
Cash, Sydney S,
Westover, M Brandon,
Bigdely-Shamlo, Nima |
| Format: | Online-Aufsatz
|
| Sprache: | English |
| Veröffentlicht: |
2011
|
| Zugriff auf das übergeordnete Werk: | Data mining and knowledge discovery
|
| Schlagworte: | Journal Article
Bottom-up search
Pruning
Random references
Time series motifs |