Deep learning for time series classification: a review

• Published in: Data mining and knowledge discovery Vol. 33; no. 4; pp. 917 - 963
• Main Authors: Ismail Fawaz, Hassan, Forestier, Germain, Weber, Jonathan, Idoumghar, Lhassane, Muller, Pierre-Alain
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2019; Springer Nature B.V; Springer
• Subjects: Academic Surveys and Tutorials; Algorithms; Artificial Intelligence; Artificial neural networks; Audio data; Chemistry and Earth Sciences; Classification; Computer Science; Computer vision; Data mining; Data Mining and Knowledge Discovery; Datasets; Deep learning; Domains; Information Storage and Retrieval; Neural networks; Physics; Speech recognition; Statistics for Engineering; Taxonomy; Time series; Deep learning; Review; Time series; Classification

Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data availability, hundreds of TSC algorithms have been proposed. Among these methods, only a few have considered Deep Neural Networks (DNNs) to perform this task. This is surpri...