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A multi-scale smoothing kernel for measuring time-series similarity

 

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Opened Access A multi-scale smoothing kernel for measuring time-series similarity
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Author: Troncoso Lora, Alicia
Arias, Marta
Riquelme Santos, José Cristóbal
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2015
Published in: Neurocomputing, 167, 8-17.
Document type: Article
Abstract: In this paper a kernel for time-series data is introduced so that it can be used for any data mining task that relies on a similarity or distance metric. The main idea of our kernel is that it should recognize as highly similar time-series that are...
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Cite: Troncoso Lora, A., Arias, M. y Riquelme Santos, J.C. (2015). A multi-scale smoothing kernel for measuring time-series similarity. Neurocomputing, 167, 8-17.
Size: 1.569Mb
Format: PDF

URI: http://hdl.handle.net/11441/43595

DOI: 10.1016/j.neucom.2014.08.099

This work is under a Creative Commons License: 
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