Name
Abstract | ||
|---|---|---|
•A new approach for data representation applied to time-series segmentation is proposed.•The proposal reduces the dimensionality of time-series with minimum information loss.•The proposed method is optimal, and it is based on A* algorithm.•The proposed method uses the results of a suboptimal method as pruning values in order to reduce its computational time. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2020.04.006 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Data representation,Data compression,Optimal time series segmentation,Time series size reduction | Journal | 135 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Carmona-Poyato | 1 | 263 | 14.87 |
| Nicolás Luis Fernández-García | 2 | 0 | 0.34 |
| F. J. Madrid-Cuevas | 3 | 498 | 25.10 |
| Antonio Manuel Durán-Rosal | 4 | 14 | 5.36 |