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PKDD
2015
Springer

Progressive and Iterative Approaches for Time Series Averaging

4 years 6 months ago
Progressive and Iterative Approaches for Time Series Averaging
Averaging a set of time series is a major topic for many temporal data mining tasks as summarization, extracting prototype or clustering. Time series averaging should deal with the tricky multiple temporal alignment problem; a still challenging issue in various domains. This work compares the major progressive and iterative averaging time series methods under dynamic time warping (dtw).
Saeid Soheily-Khah, Ahlame Douzal Chouakria, &Eacu
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where PKDD
Authors Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier
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