AgCleaning: A Track Data Filling Algorithm Based on Movement Recency for RFID Track Data

Abstract:

For the traditional data cleaning algorithms mainly fill up the data based on the space-time relevance in the data level, they are not suitable for RFID application scenarios with track information based on multi-logical areas. This paper proposed a track data filling algorithm based on movement recency by studying the characteristics of RFID track data. This algorithm maintains a track event tree according to the historical data, to predict the future data and guide the data cleaning. Also it considers the effect on the movement rules from time factor and brings in the ageing factor for maintaining the track event tree, which improved the predict accuracy of the tree and raise the veracity of the filling algorithm.

• Periodical: Applied Mechanics and Materials (Volumes 490-491)
• Pages: 1330-1337
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.490-491.1330
• Online since: January 2014
• Authors: Kong Fa Hu, Long Li, Zhi Peng Lu
• Keywords: Data Filling, Radio Frequency Identification (RFID), Track Event Tree

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