A RFID-enabled with data mining model for exhibition industry

W.L. Wang, C. P. Chang, C.T. Huang, B. Wang
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引用次数: 3

Abstract

Taiwan has been upgraded to world-class exhibition venues. At present, the participations of the exhibition are the way to approach the scene admission tickets, or to prove that staffs wear work to enter the venue. For the case, manufacturers and exhibitors is difficult to collect information to find the potential customers. How fast and accurate to collect the information on all personnel at the exhibition is a major issue. RFID is a new technology for data collection. The benefits of RFID include: (1) Identification, without directly touching or reading machine targeting items ;(2) To identify the label other than the use of information technology most of ADC information stored in more;(3) Follow history, or re-use in the identification label change read / write the data identification label. In this paper, we propose a RFID-enabled with Data Mining model which start with RFID technique for fast data collection, then analyze and transform the data to useful information for exhibition industry through Data Mining.
一个支持rfid的会展行业数据挖掘模型
台湾已升级为世界级的展览场地。目前,参加展会的方式都是接近现场入场门票,或者证明工作人员穿着工作服进入会场。对于这种情况,制造商和参展商很难收集信息来寻找潜在客户。如何快速准确地收集所有参展人员的信息是一个主要问题。RFID是一种新的数据采集技术。RFID的好处包括:(1)识别,无需直接接触或读取机器目标物品;(2)识别标签使用信息技术以外的大部分ADC信息存储较多;(3)跟踪历史,或重复使用在识别标签更改读/写识别标签的数据。本文提出了一种基于RFID的数据挖掘模型,该模型以RFID技术为起点,快速采集数据,然后通过数据挖掘将数据分析转化为对会展行业有用的信息。
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