Abstract
In various RFID application scenarios, RFID generates real-time and inherent unreliable raw data continually, which contain valuable enterprises business event. How to detect valuable event from RFID raw data has becoming a key issue. A Rete-based RFID complex event detection method called R2CEDM is proposed. Firstly, α_detecting net is established to detect all attribute of RFID primitive events in R2CEDM. Then β_detecting net is used to assemble RFID events into RFID complex events with the business rules, and concerned RFID complex events is obtained. The comparative experiments show the proposed R2CEDM can effectively improve the processing efficiency.
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Acknowledgments
This work was supported by the National Science Foundation of China (61203135), National High-tech R&D Program of China (2015AA015308), China Post-doctoral Science Foundation (2014T70852), Chongqing Postdoctoral Science Foundation Project (Xm201305), Sichuan provincial education department (15ZB0327) and the general project of Sichuan University of Arts and Science (2015TP002Y).
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Peng, X., Zheng, L., Liao, T. (2017). R2CEDM: A Rete-Based RFID Complex Event Detection Method. In: Tan, Y., Takagi, H., Shi, Y. (eds) Data Mining and Big Data. DMBD 2017. Lecture Notes in Computer Science(), vol 10387. Springer, Cham. https://doi.org/10.1007/978-3-319-61845-6_14
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DOI: https://doi.org/10.1007/978-3-319-61845-6_14
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