摘要
商业化物联网的具有智能化的全面覆盖、感知度的全面增强、连接性的全面提升等特点。运用先进的数据挖掘技术进行正确有效信息数据的挖掘,之后再对其进行科学的整合优化,传送给系统内部的服务层。用户在服务层中进行数据信息的相应操作,将数据作为依照,制定出有针对性的科学决策。商业化物联网数据挖掘对社会经济的发展具有重要作用,同时又为人们生活提供更多的便利,从而推动整个社会经济的发展。
Commercial network coverage, intelligent perception of enhancing the comprehensive promotion, connectivity etc.. The use of advanced data mining technology was correct and effective information data, then carries on the integration of science, the service layer is transmitted to the iinternal system. The corresponding operation information users in the service layer, data as in, formulate the target of scientific decision. Commercial complex has an important role in the development of economic and social network data mining, but also to provide more convenience for people's life, so as to promote the development of social economy.
出处
《齐齐哈尔师范高等专科学校学报》
2015年第1期124-125,共2页
Journal of Qiqihar Junior Teachers College
基金
四川工商职业技术学院院级课题(课题编号12NC06)
关键词
商业化
物联网
数据挖掘模式
构建
Commercial
The Internet of things
The data mining model
Construction