基于匹配树方法的RFID标签信息归类方法设计

摘要

Radio Frequency Indentation(RFID)using radio frequency conmmunication technology can achieve non-contact automatic data identation and transmission.Due to these technique features,RFID data is enomous and nondeterministic.In order to solve complex-event processing problems for RFID data,a design of RFID tag information classificaiton method that combines auto matching machine and the decision tree is proposed in this paper.This method is proved high efficiency for completing the detection of complex events and the classification of the data set.%RFID是一种利用射频通信实现非接触式自动识别和获取数据的技术.由于RFID技术特点,RFID数据具有海量性和不确定性等特点.本文针对不确定数据上的RFID复杂事件处理技术这一问题,使用判决树和自动机相结合,对现有的复杂事件处理技术做了扩展与改进,使其能够比较高效地在不确定数据上完成复杂事件的检测并且对读取到的数据进行归类.