Titlebook: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets; Philipp Bergmeir Book 2018 The Edito

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https://doi.org/10.1007/978-3-030-88654-7 likely to suffer from the same type of failure or not. Thereby, it is only known that the same component of these two cars has failed. Moreover, the method should draw its conclusion exclusively on the basis of the load spectrum data of these vehicles.

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The Palgrave Handbook of Violence in Africaid component, whereas algorithms that allow a visual detection of structure such as clusters in the data have been discussed in Chapter 4. However, a common disadvantage of the approaches, which performed best on the studied datasets, is that they are all “black box” models, i.e., they do not allow

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https://doi.org/10.1007/978-3-031-05390-0mputed on-board in modern vehicles such as HEVs. The aim has been manifold, where the main goal has been to determine usage and stress patterns that are related to failures of selected components of the hybrid power-train, like the hybrid car battery. The identified patterns can help the engineers t

助記

https://doi.org/10.1007/978-3-031-06089-2The success of each Data Mining task strongly depends on the quality of the data that are used. Thus, assuring a high data quality before performing any data analysis is a crucial, maybe the most important step of any data analysis project. This is also pointed out by the popular saying “garbage in, garbage out” [10].

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https://doi.org/10.1007/978-1-137-26317-9At the end of this thesis, possible enhancements of the proposed approaches as well as future research directions are discussed briefly.

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Outlook,At the end of this thesis, possible enhancements of the proposed approaches as well as future research directions are discussed briefly.

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The Palgrave Handbook of Violence in Africatterns in the data provoke the classifier . . to assign a certain label to an instance on the one hand, and which ones induce particular objects to form a cluster in the low-dimensional maps, produced by method RF-t-SNE, while others do not, on the other hand.

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Identifying usage and stress patterns in a vehicle fleet,tterns in the data provoke the classifier . . to assign a certain label to an instance on the one hand, and which ones induce particular objects to form a cluster in the low-dimensional maps, produced by method RF-t-SNE, while others do not, on the other hand.

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