Time Series Classification at Scale

Event date:  26 May 2021

Time series classification is a fundamental data science task, providing understanding of dynamic processes as they evolve over time, for example changes in global land use. The recent introduction of ensemble techniques has revolutionised this field, greatly increasing accuracy, but at a cost of increasing already burdensome computational overheads.

In this seminar delivered for the University of Auckland, Prof Geoff Webb, Research Director of Monash Data Futures Institute, presented new time series classification technologies that achieve the same accuracy as recent state-of-the-art developments, but with many orders of magnitude greater efficiency and scalability. These make time series classification feasible at hitherto unattainable scale.