Name
Abstract | ||
|---|---|---|
There are different approaches to the temporal study of time evolving systems. This paper reviews previ- ous works related to time series and it evaluates three approaches focused to the comparison of these type of series. Two approaches are based on the principles of Dynamic Time Warping algorithm (DT W )a nd one of them uses qualitative representation based on episodes. Both strategies are discussed and applied to a tank sys- tem diagnosis and retrieval of registers of perturbations gathered in a electric distribution substation. The third approach uses a similarity index defined by qualitative labels. Each label represents a range of values that, from a qualitative perspective, we may consider sim- ilar. This approach is tested with two datasets. This study is completed with a evaluation of noise and other possible labellings. |
Year | Venue | Keywords |
|---|---|---|
2003 | Computación y Sistemas | shapes,time series analysis,dynamic programming,qualitative analysis,noise |
Field | DocType | Volume |
Evolving systems,Time series,Dynamic programming,Data mining,Dynamic time warping,System diagnosis,Artificial intelligence,Qualitative knowledge,Geography | Journal | 7 |
Issue | Citations | PageRank |
1 | 0 | 0.34 |
References | Authors | |
15 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Llanos | 1 | 0 | 0.34 |
| Francisco Javier Cuberos | 2 | 1 | 2.08 |
| Joaquím Meléndez | 3 | 111 | 15.29 |
| Francisco Gamero | 4 | 8 | 1.54 |
| J. A. Ortega | 5 | 99 | 7.03 |
| Juan Antonio Ortega Redondo | 6 | 208 | 29.56 |