Improving the quality of RFID Data by Utilising a Bayesian Network Cleaning Method
作者： Bela Stantic , Peter John Darcy , Abdul Sattar
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摘要: Radio Frequency Identification (RFID) is a technology used to identify automatically cluster of objects within specified parameter. This has promised means cut cost time and money in manual labor allow greater efficiency numerous workplaces. However, there are various problems such as missed readings which hinder wide scale adoption RFID systems. To this end we propose system that utilises Bayesian Network applied at Deferred stage impute restore readings. Experimental results have shown the optimal random threshold 15/% DefBayNet method improves data restoration process when compared with state-of-the-art method.
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