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- W2520230070 abstract "Tracking moving entities at predefined locations plays an essential role in many surveillance related applications. Occasionally, the IDs of those entities are incorrectly recorded due to various reasons such as errors in recognition. Such errors need to be repaired on the fly as those IDs are often involved in some time-sensitive query processing or data analysis tasks. In this paper, we address a specific case where the errors result in singleton IDs, i.e., IDs that appear only once during a specific period of time and thus could be safely presumed to be erroneous. The repair of the IDs is based on constraints posed by the data itself (e.g., constraints posed by the road network). We present a tracking tree structure to index the candidate repairs for each singleton ID, which enables repairing of the IDs on the fly. We implement a distributed repair system on the Apache Storm platform. Experiments on both real and synthetic datasets demonstrate the effectiveness and efficiency of our singleton detection and repair approach." @default.
- W2520230070 created "2016-09-23" @default.
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- W2520230070 date "2016-01-01" @default.
- W2520230070 modified "2023-09-24" @default.
- W2520230070 title "Repair Singleton IDs on the Fly" @default.
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- W2520230070 doi "https://doi.org/10.1007/978-3-319-45817-5_17" @default.
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