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- W2562361364 abstract "RFID (Radio Frequency Identification)-based object tracking is increasingly deployed and used in indoor environments such as airports, shopping malls, etc. However, the inherent noise in the raw RFID data makes it difficult to support queries and analyses on the data. In this paper, we propose an RFID data cleansing based on regular expressions. We generate the regular expressions in an automaton that captures all possible indoor paths from the spatial and temporal aspects of indoor space and deployed readers. Given the raw data of an object, the proposed matching algorithm finds all the matching paths using the automaton. We evaluate the proposed approach by conducting experimental studies using real dataset. The results demonstrate the effectiveness of the propose approach." @default.
- W2562361364 created "2017-01-06" @default.
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- W2562361364 date "2016-10-31" @default.
- W2562361364 modified "2023-09-26" @default.
- W2562361364 title "Cleansing indoor RFID data using regular expressions" @default.
- W2562361364 cites W2139420221 @default.
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- W2562361364 doi "https://doi.org/10.1145/2996913.2996979" @default.
- W2562361364 hasPublicationYear "2016" @default.
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