Big Data Analysis: Data Mining of Temperature and Humidity in Refrigeration Warehouses

摘要：

　　In the past decade, along with continuous application of communication and information technologies in refrigeration warehouse monitoring, the amount of temperature and humidity data is growing incredibly fast, which is presenting in the form of Big Data.Accordingly, its storage and processing should not be limited to traditional approaches, but should analyze under Big Data environment.Also, it is necessary to mine main influence factors of temperature and humidity from monitoring Big Data.Based on solving these issues, a Hadoop-based data analysis will be introduced to allocate tasks for processing Big Data, wherein one of machine learning algorithms is proposed to mine main influence factors of temperature and humidity.

关键词： Big Data Data Mining Temperature and Humidity Hadoop BP Neural Network

作者: Zheng Xiao Buyun Sheng Liang Xue Zhenqiang Fang Yao Shu Peng Jiang

作者单位: School of Mechanical and Electronic Engineering, Wuhan University of Technology,Hubei, Wuhan 430070, China

会议类型: 国际会议

会议名称: International Conference on Computational Science and Engineering Applications(CSEA2015)2015计算机科学与工程应用国际会议

会议地点: 三亚

会议语种:英文

页码: 448-452

在线出版日期: 2015-12-26（万方平台首次上网日期，不代表论文的发表时间）