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BestTime: Finding representatives in time series datasets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8726 LNAI(PART 3) 477-480
DOI: 10.1007/978-3-662-44845-8_39
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Abstract

Given a set of time series, we aim at finding representatives which best comprehend the recurring temporal patterns contained in the data. We demonstrate BestTime, a Matlab application that uses recurrence quantification analysis to find time series representatives. © 2014 Springer-Verlag.

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Spiegel, S., Schultz, D., & Albayrak, S. (2014). BestTime: Finding representatives in time series datasets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8726 LNAI, pp. 477–480). Springer Verlag. https://doi.org/10.1007/978-3-662-44845-8_39

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