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FordA UCR Archive Dataset

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https://zenodo.org/record/11191163
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资源简介:
This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/. This data was originally used in a competition in the IEEE World Congress on Computational Intelligence, 2008. The classification problem is to diagnose whether a certain symptom exists or does not exist in an automotive subsystem. Each case consists of 500 measurements of engine noise and a classification. There are two separate problems: For FordA the train and test data set were collected in typical operating conditions, with minimal noise contamination. Donator: A. Bagnall
创建时间:
2024-05-15
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