数据挖掘技术在制冷空调行业的应用
Application of data mining technology to refrigeration and air conditioning industry
摘要：
基于制冷空调行业大数据介绍了数据挖掘的基本过程，重点阐述了制冷空调行业中常用的决策树、支持向量机等有监督学习算法和聚类分析、关联规则分析等无监督学习算法的原理与应用；简要介绍了数据挖掘工具R及数据挖掘技术在制冷空调行业的研究现状。认为大数据可推动制冷空调行业转型发展，利用大数据可最终实现空调产品高度智能化、企业运营数字化、用户体验极致化等。
Abstract：
Describes the basic process of data mining based on the big data in the refrigeration and air conditioning industry, and emphatically expounds the principles and applications of the supervised learning algorithms (decision tree and support vector machine) and the unsupervised learning algorithms (cluster analysis and association rule analysis) which are commonly used in the refrigeration and air conditioning industry. Briefly presents the tool R of data mining and the research status of data mining technology in the refrigeration and air conditioning industry. Considers that the big data can promote the transformation and development of the refrigeration and air conditioning industry, and the use of big data can achieve a high degree of product intelligence, digital enterprise operation and ultimate user experience.
Keywords:bigdata,refrigerationandairconditioningindustry,datamining,algorithm,Internet+