Name
Abstract | ||
|---|---|---|
The Dynamic Time Warping (DTW) algorithm is widely used in finding the global alignment of time series. Many time series data mining and analytical problems can be solved by the DTW algorithm. However, using the DTW algorithm to find similar subsequences is computationally expensive or unable to perform accurate analysis. Hence, in the literature, the parallelisation technique is used to speed up ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.26599/BDMA.2018.9020021 | Big Data Mining and Analytics |
Keywords | DocType | Volume |
Time series analysis,Heuristic algorithms,Graphics processing units,Instruction sets,Data mining,Pattern matching,Microsoft Windows | Journal | 1 |
Issue | Citations | PageRank |
4 | 1 | 0.35 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huanzhou Zhu | 1 | 11 | 2.19 |
| Zhuoer Gu | 2 | 7 | 1.89 |
| Haiming Zhao | 3 | 1 | 0.35 |
| Keyang Chen | 4 | 1 | 0.35 |
| Chang-Tsun Li | 5 | 937 | 72.14 |
| Ligang He | 6 | 542 | 56.73 |