Titlebook: Database Systems for Advanced Applications. DASFAA 2023 International Workshops; BDMS 2023, BDQM 2023 Amr El Abbadi,Gillian Dobbie,Hongzhi

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https://doi.org/10.1007/978-3-030-15581-0nts and economic losses caused by traffic light failures. Due to reasons such as electrical equipment and magnetic fields, the collected data may be inaccurate. Predicting traffic light failures based on inaccurate data is a challenge. This study collects real traffic light data and proposes an AO-L

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Artur A. Trzebiński,Ewa Majerowska of sensors has made it possible to obtain massive amounts of time series data. However, the performance of different algorithms for different types of time series data varies greatly. So how to automatically choose an optimal algorithm for different data becomes the key to improving efficiency and

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https://doi.org/10.1007/978-3-319-54885-2k of vessel trajectory segmentation identifies the typical sub-trajectory segments in the vessel trajectories, which are recognized as natural, interpretable, and meaningful basic vessel behaviors. Consequently, vessel trajectory segmentation is essential for machine learning and recommendation in t

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