# Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dynamic-time-warping-averaging-of-time-series-allows-faster-and-more-accurate/

## Facts

| Field | Value |
| --- | --- |
| Author Names | François Petitjean,Germain Forestier,Geoffrey I. Webb,Ann E. Nicholson,Yanping Chen,Eamonn Keogh |
| Citations | 237 |
| DOI | 10.1109/icdm.2014.27 |
| Fields | Computer Science,Economics, Econometrics and Finance |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1989417520 |
| Type | conference-paper |
| Year | 2014 |

## Paper authors

- [François Petitjean](https://scholariq.org/researchers/francois-petitjean/)
- [Germain Forestier](https://scholariq.org/researchers/germain-forestier/)

## Paper primary topic

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)

## Paper topics

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [Complex Systems and Time Series Analysis](https://scholariq.org/topics/complex-systems-and-time-series-analysis/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.