Titlebook: Unsupervised Pattern Discovery in Automotive Time Series; Pattern-based Constr Fabian Kai Dietrich Noering Book 2022 The Editor(s) (if appl

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Conclusion,he application of pattern discovery in automotive use cases, which was considered as a gap in research previously. The handling of automotive data, or vehicle time series data, is especially challenging because it unites properties like high dynamism, diversity, dimensionality and large sizes.

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1867-3635 proach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles...?.978-3-658-36335-2978-3-658-36336-9Series ISSN 1867-3635 Series E-ISSN 2512-1154

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