Data mining refers to the process of finding hidden information from a large number of data through algorithms. Data mining is usually related to computer science, and the above goals are achieved through statistics, online analytical processing, information retrieval, machine learning, expert system (relying on past empirical rules), pattern recognition and other methods.
Necessity is the mother of invention. In recent years, data mining has aroused great concern in the information industry. The main reason is that there are a lot of data that can be widely used, and it is urgent to transform these data into useful information and knowledge. The obtained information and knowledge can be widely used in various applications, including business management, production control, market analysis, engineering design and scientific exploration.
Data mining is a hot topic in the field of artificial intelligence and database research. The so-called data mining refers to the extraordinary process of revealing hidden, previously unknown and potentially valuable information from a large number of data in the database.
Data mining is a decision support process, which is mainly based on artificial intelligence, machine learning, pattern recognition, statistics, database, visualization technology and so on. It analyzes the data of enterprises with a high degree of automation, conducts inductive reasoning, mines potential patterns from them, and helps decision makers adjust market strategies, reduce risks and make correct decisions. The process of knowledge discovery includes the following three stages: ① data preparation; ② data mining; ③ Expression and explanation of results. Data mining can interact with users or knowledge base.