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Radio Frequency Identification (RFID) can be used in various ways for the optimization of supply chain management processes. However, there are technological constraints that delay a reliable and productive use of the technology. One of these constraints is the problem of false-positive RFID tag reads i.e., tags that have been read unintentionally by an RFID reader. We propose a machine learning based approach that makes use of the low-level reader data collected when reading tags to detectdoi:10.1109/iot.2010.5678439 dblp:conf/iot/KellerTKF10 fatcat:me7eczz77fgz3cbdwaw7txxmya