Application of data mining technology to refrigeration and air conditioning industry

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.