Learning Optimal Time Series Combination and Pre-Processing by Smart Joins
In industrial applications of data science and machine learning, most of the steps of a typical pipeline focus on optimizing measures of model fitness to the available data. Data preprocessing, instead, is often ad-hoc, and not based on the optimization of quantitative measures. This paper proposes...
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Published in | Applied sciences Vol. 10; no. 18; p. 6346 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.09.2020
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Subjects | |
Online Access | Get full text |
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