Methods › Sequential › Time Series Analysis
Time Series Analysis
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.
Methods
All 12 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| DTW Dynamic Time Warping | – | 159 |
| ROCKET Random Convolutional Kernel Transform | – | 79 |
| InceptionTime | – | 19 |
| EMF Enhanced-Multimodal Fuzzy Framework | – | 18 |
| DFA (Random Walk) Detrended fluctuation analysis | – | 7 |
| DPCCA Detrended Partial-Cross-Correlation Analysis | – | 6 |
| Enhanced Fusion Framework | – | 3 |
| FLICA A Framework for Leader Identification in Coordinated Activity | – | 3 |
| Low Rank Tensor Learning Paradigms Time-homogenuous Top-K Ranking | – | 2 |
| CNN-TS A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets | – | 1 |
| NearestAdvocate Nearest Advocate | – | 1 |
| srBTAW (BTW) Self-regularizing Boundary Time and Amplitude Warping | – | 1 |