Abstract
This paper provides comprehensive review about data cleaning for RFID data streams. It serves the purpose to understand the current undertakings to ensure data quality in RFID. It focused on three major RFID data issues which are noise readings, duplicate readings and missed readings. It includes in-depth analysis on existing approaches specifying on Bloom filter based approaches. This literature can be used by researcher to understand the background of RFID data filtering, the challenges and expectation in the future.
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This work is sponsored by Ministry of Education Malaysia and Universiti Tun Hussein Onn Malaysia.
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Mahdin, H. (2014). A Review on Bloom Filter Based Approaches for RFID Data Cleaning. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_9
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DOI: https://doi.org/10.1007/978-981-4585-18-7_9
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