R2CEDM: A Rete-Based RFID Complex Event Detection Method

被引：0
|
作者：
Peng, Xiaoli [1 ,2 ,3 ]
Zheng, Linjiang [2 ]
Liao, Ting [1 ,3 ]
机构：
[1] Sichuan Univ Arts & Sci, Sch Intelligent Mfg, Dazhou 635000, Sichuan, Peoples R China
[2] Chongqing Univ, Coll Comp Sci, Chongqing 400030, Peoples R China
[3] Inst Dazhou Intelligent Mfg Technol, Dazhou 635000, Sichuan, Peoples R China
来源：
DATA MINING AND BIG DATA, DMBD 2017 | 2017年 / 10387卷
基金：
美国国家科学基金会;
关键词：
Complex event detection; RFID; Rete; Rule match; DATA STREAMS;
D O I：
10.1007/978-3-319-61845-6_14
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 (RCEDM)-C-2 is proposed. Firstly, alpha_detecting net is established to detect all attribute of RFID primitive events in (RCEDM)-C-2. Then beta_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 (RCEDM)-C-2 can effectively improve the processing efficiency.
引用
收藏
页码：137 / 147
页数：11
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