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

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.