Efficient RFID Data Cleaning in Supply Chain Management

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概要

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• Despite the improvement of the accuracy of RFID readers, there are still erroneous readings such as missed reads and ghost reads. In this letter, we propose two effective models, a Bayesian inference-based decision model and a path-based detection model, to increase the accuracy of RFID data cleaning in RFID based supply chain management. In addition, the maximum entropy model is introduced for determining the value of sliding window size. Experiment results validate the performance of the proposed method and show that it is able to clean raw RFID data with a higher accuracy.

著者

• FAN Hua

  School of Computer, National University of Defense Technology

• ZHANG Jianfeng

  School of Computer, National University of Defense Technology

• WU Quanyuan

  School of Computer, National University of Defense Technology

関連論文

• Efficient RFID Data Cleaning in Supply Chain Management
• Improving Text Categorization with Semantic Knowledge in Wikipedia

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