数据挖掘技术在共享单车云平台体系中的应用

Application exploration of data mining technology in shared bicycle cloud platform system

伴随着共享经济模式兴起和信息化技术的迅猛发展,作为"绿色、智慧"城市亮点的共享单车模式已经成为人们生活中不可或缺的一部分,它不仅为人们提供健康的生活模式,而且为政府和企业提供广阔的发展平台和商机。文章在研究共享单车体系的物联网、大数据以及云平台等技术基础上,引入数据挖掘和人工智能技术对共享单车云平台获取的数据进行预处理以及建模分析,有效建立高效安全的共享单车体系,从而解决其存在的问题。

With the rise of the shared economic mode and the rapid development of information technology, the shared bicycle mode has become an indispensable part of people＇ s life as the highlight of ＂green and smart city＂. It not only provides a healthy lifestyle for people, but also provides a broad development platform and business opportunity for the government and enterprises. This paper introduces data mining and artificial intelligence technology to preprocess and model the data obtained from the shared bicycle cloud platform, basing on the research of the Internet of Things, large data and cloud platform. It is effective to establish efficient and safe shared bicycle system to solve the problems that exist increasingly.