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In recent years, the rise of mobile devices has led to the emergence of big trajectory data. Raw GPS records usually include many errors and abnormal information due to equipment error and environment influence. To provide high quality data for applications, an important task is to efficiently detect and effectively repair different types of anomalies in GPS records. In this demo, we develop a tool called GPSClean to detect and repair abnormal GPS data. The tool well supports repairing five kinds of anomalies in GPS data and is developed in an open source database system for managing trajectory data. We demonstrate GPSClean by using large real GPS data.
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Fang et al. (2021) studied this question.
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