Feature-based time-series analysis

I introduce feature-based time-series analysis. The time series as a data type is first described, along with an overview of the interdisciplinary time-series analysis literature. I then summarize the range of featurebased representations for time series that have been developed to aid interpretable insights into time-series datasets. Particular emphasis is given to emerging research that facilitates wide comparison of featurebased representations that allow us to understand the properties of a time-series dataset that make it suited to a particular feature-based representation or analysis algorithm. The future of time-series analysis is likely to embrace approaches that exploit machine learning methods to partially automate human learning to aid understanding of the complex dynamical patterns in the time series we measure from the world.