Title A new approach for optimal offline time-series segmentation with error bound guarantee
Authors Carmona-Poyato Á. , Fernández-Garcia N.L. , Madrid-Cuevas F.J. , DURAN ROSAL, ANTONIO MANUEL
External publication No
Means Pattern Recognit.
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
JCR Impact 8.51800
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101905482&doi=10.1016%2fj.patcog.2021.107917&partnerID=40&md5=999eff462cff5235e6d69ec3a9114c08
Publication date 01/01/2021
ISI 000639744500001
Scopus Id 2-s2.0-85101905482
DOI 10.1016/j.patcog.2021.107917
Abstract Piecewise Linear Approximation is one of the most commonly used strategies to represent time series effectively and approximately. This approximation divides the time series into non-overlapping segments and approximates each segment with a straight line.
Keywords Piecewise linear techniques; Time series; Approximation errors; New approaches; Optimal approaches; Optimal methods; Performance measure; Piecewise linear approximations; Sub-optimal method; Time-seri
Universidad Loyola members

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