Time Series Active Learning using Automated Feature Extraction
Time series classification is a prevalent problem for sensor data in an industrial setting. The ability to classify time series correctly allows for predictive maintenance which is the process of optimally maintaining assets and ensuring minimal ”down-time” of machines or processes. A requirement for classifying the time series are labeled time series that can be used as training instances. Labell