Name
Title | ||
|---|---|---|
CPM: A general feature dependency pattern mining framework for contrast multivariate time series |
Abstract | ||
|---|---|---|
•Unsupervised framework to mine contrast patterns in controlled experiment.•Customizable regularization techniques.•Efficient optimization algorithm easily adapt to various models under the framework.•Highly interpretable results in real world controlled experiments. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2020.107711 | Pattern Recognition |
Keywords | DocType | Volume |
Contrast pattern,Feature dependency,Controlled experiment,Driving behavior,Multivariate time series | Journal | 112 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingzhe Li | 1 | 4 | 1.75 |
| Liang Zhao | 2 | 386 | 54.50 |
| Yi-Ching Lee | 3 | 1 | 1.79 |
| Avesta Sassan | 4 | 0 | 0.34 |
| Jessica Lin | 5 | 2306 | 123.11 |