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Slope Entropy Characterisation: The Role of the Delta Parameter

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Slope Entropy Characterisation: The Role of the Delta Parameter

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dc.contributor.author Kouka, Mahdy es_ES
dc.contributor.author Cuesta Frau, David es_ES
dc.date.accessioned 2023-07-14T18:00:57Z
dc.date.available 2023-07-14T18:00:57Z
dc.date.issued 2022-10 es_ES
dc.identifier.issn 1099-4300 es_ES
dc.identifier.uri http://hdl.handle.net/10251/194987
dc.description.abstract [EN] Many time series entropy calculation methods have been proposed in the last few years. They are mainly used as numerical features for signal classification in any scientific field where data series are involved. We recently proposed a new method, Slope Entropy (SlpEn), based on the relative frequency of differences between consecutive samples of a time series, thresholded using two input parameters, gamma and delta. In principle, delta was proposed to account for differences in the vicinity of the 0 region (namely, ties) and, therefore, was usually set at small values such as 0.001. However, there is no study that really quantifies the role of this parameter using this default or other configurations, despite the good SlpEn results so far. The present paper addresses this issue, removing delta from the SlpEn calculation to assess its real influence on classification performance, or optimising its value by means of a grid search in order to find out if other values beyond the 0.001 value provide significant time series classification accuracy gains. Although the inclusion of this parameter does improve classification accuracy according to experimental results, gains of 5% at most probably do not support the additional effort required. Therefore, SlpEn simplification could be seen as a real alternative. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Entropy es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Slope entropy es_ES
dc.subject Time series classification es_ES
dc.subject Parameter optimisation es_ES
dc.subject Permutation entropy es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Slope Entropy Characterisation: The Role of the Delta Parameter es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/e24101456 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi es_ES
dc.description.bibliographicCitation Kouka, M.; Cuesta Frau, D. (2022). Slope Entropy Characterisation: The Role of the Delta Parameter. Entropy. 24(10):1-9. https://doi.org/10.3390/e24101456 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/e24101456 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 24 es_ES
dc.description.issue 10 es_ES
dc.identifier.pmid 37420476 es_ES
dc.identifier.pmcid PMC9601388 es_ES
dc.relation.pasarela S\478301 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
upv.costeAPC 2029,15 es_ES


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