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A new approach for optimal time-series segmentation
dc.contributor.author | Carmona Poyato, Ángel | |
dc.contributor.author | Fernández García, Nicolás Luis | |
dc.contributor.author | Madrid-Cuevas, F.J. | |
dc.contributor.author | Durán Rosal, Antonio Manuel | |
dc.date.accessioned | 2024-01-22T18:51:35Z | |
dc.date.available | 2024-01-22T18:51:35Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 0167-8655 | |
dc.identifier.uri | http://hdl.handle.net/10396/26681 | |
dc.description.abstract | This paper proposes a new optimal approach, called OSTS, to improve the segmentation of time series. The proposed method is based on A* algorithm and it uses an improved version of the well-known Salotti method for obtaining optimal polygonal approximations. Firstly, a suboptimal method for time-series segmentation is applied to obtain pruning values. In this case, a suboptimal method based on Bottom-Up technique is selected. Then, the results of the suboptimal method are used as pruning values to reduce the computational time of the proposed method. The proposal has been compared to other suboptimal methods and the results have shown that the method is optimal, and, in some cases, the computational time is similar to other suboptimal methods. | es_ES |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.source | Carmona-Poyato, A., Fernández-García, N. L., Madrid-Cuevas, F. J., & Durán-Rosal, A. M. (2020). A new approach for optimal time-series segmentation. Pattern Recognition Letters, 135, 153-159. https://doi.org/10.1016/j.patrec.2020.04.006 | es_ES |
dc.subject | Data representation | es_ES |
dc.subject | Data compression | es_ES |
dc.subject | Optimal time series segmentation | es_ES |
dc.subject | Time series size reduction | es_ES |
dc.title | A new approach for optimal time-series segmentation | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.patrec.2020.04.006 | es_ES |
dc.relation.projectID | Gobierno de España. TIN2016-75279-P | es_ES |
dc.relation.projectID | Gobierno de España. TIN2017-85887-C2-1-P | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |