基于云计算平台物联网数据挖掘系统设计  

Systematic Design of Data Mining on the Internet of Things Based on Cloud Computing Platform

作　　者：朱小娟[1] ZHU Xiaojuan(Anhui Vocational College of Defense Technology,Lu＇ an,Anhui Province 237011,China)

机构地区：[1]安徽国防科技职业学院,六安237011

出　　处：《北京印刷学院学报》2018年第3期43-45,共3页Journal of Beijing Institute of Graphic Communication

基　　金：安徽省质量工程项目(编号:2014mooc088);安徽省质量工程项目(编号:2012gxk162);安徽省级质量工程项目(编号:2015msgzs184)

摘　　要：云计算是一种大规模计算方式,有效加快数据计算速度,是未来大数据信息处理的必然发展趋势。在云计算平台下对物联网数据进行挖掘已经成为大数据信息特征提取和数据开采的基本技术,科学家通过研究相关算法提高数据挖掘的效率。本文基于云计算平台对物联网数据挖掘系统进行设计,根据神经元网络控制算法编码软件系统,通过与传统数据挖掘系统进行仿真实验对比,证明给出的系统挖掘效率更高,具有很强的实用性。Cloud computing is a kind of large-scale computing mode, which has so fast data processing capacity and so powerful scheduling ability that can effectively speed up the data computing, so the cloud computing will be an inevitable development trend in processing big data information in the future. Mining the Internet of things data on the cloud computing platform has become the basic technology to extract features and mine data of the big data information, while scientists try their best to improve the efficiency of the data mining by studying related algorithms. To sum up, this paper designs the data mining system of the Internet of things based on the cloud computing platform, With neuron network control algorithm coding software system, compare with traditional data mining system through the simulation experiments, in order to testify that the given system has more efficient mining ability and powerful practicability.

关 键 词：云计算平台 物联网环境 数据挖掘系统 

分 类 号：TB482[一般工业技术—包装工程] TS206[轻工技术与工程—食品科学]