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| Ultima descărcare din IBN: 2024-03-03 20:53 |
 SM ISO690:2012KRUKOVETS, Dmytro. Analysis of similarity between artificially simulated time series with Dynamic Time Warping. In: International Conference on Intelligent Information Systems, Ed. 2020, 4-5 decembrie 2020, Chișinău. Chișinău: "VALINEX" SRL, 2020, pp. 97-108. ISBN 978-9975-68-415-6. |
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| International Conference on Intelligent Information Systems 2020 | ||||||
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Conferința "International Conference on Intelligent Information Systems" 2020, Chișinău, Moldova, 4-5 decembrie 2020 | ||||||
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| MSC 2010: 37M10, 91B84, 62H30, 51K05 | ||||||
| Pag. 97-108 | ||||||
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Paper presents a suite of the model that finds similarity in dynamics between time series and groups them by this property; and an artificial data generator that builds those time series that have issues, close to the real ones. These two parts open a rich field for the further analysis of both real-life data and new algorithms that are able to find and distinguish these real-life issues for the more comprehensive analysis. |
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| Cuvinte-cheie Dynamic Time Warping, clustering, distance matrix, artificial dataset |
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