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作 者:杨晓娟 Yang Xiaojuan(Henan College of Animal Husbandry Economics,Zhengzhou 450000,China)
出 处:《无线互联科技》2023年第14期113-115,共3页Wireless Internet Technology
摘 要:文章首先介绍了物联网技术和信息融合技术的相关概念与特点。其次,运用云计算技术,从云计算支撑平台层、数据挖掘能力层、数据挖掘云服务层3个方面入手,设计数据挖掘模型。最后,以某出租车数据集为研究对象,对其数据处理过程进行了详细的描述和验证。结果表明,文章提出的物联网实时数据处理方案具有较高的可靠性和可行性,完全符合实际应用需求。This article first introduces the concepts and characteristics of the Internet of Things and information fusion technology.Secondly,using cloud computing technology,we design a data mining model from three aspects:cloud computing support platform layer,data mining capability layer,and data mining cloud service layer.Finally,taking a taxi dataset as the research object,the data processing process is described and validated in detail.The results show that the proposed real-time data processing scheme for the Internet of Things has high reliability and feasibility,and fully meets the practical application requirements.
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