Reliable early classification of time series based on discriminating the classes over time

• Published in: Data mining and knowledge discovery Vol. 31; no. 1; pp. 233 - 263
• Main Authors: Mori, Usue, Mendiburu, Alexander, Keogh, Eamonn, Lozano, Jose A.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2017; Springer Nature B.V
• Subjects: Accuracy; Artificial Intelligence; Birds; Case studies; Chemistry and Earth Sciences; Classification; Computer Science; Data mining; Data Mining and Knowledge Discovery; Health informatics; Information Storage and Retrieval; Intelligent systems; Labels; Mathematical models; Physics; Proposals; Statistics for Engineering; Thresholds; Time series; Early classification; Time series classification; Gaussian process

The goal of early classification of time series is to predict the class value of a sequence early in time, when its full length is not yet available. This problem arises naturally in many contexts where the data is collected over time and the label predictions have to be made as soon as possible. In...