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Zipei big data
According to Teacher Tu Zipei, data mining began to rise in 1989.

Data mining (English: data mining), also translated as data mining and data mining. This is a step of knowledge discovery (KDD) in the database. Generally speaking, data mining refers to the process of automatically searching hidden information with special relationship in a large number of data (belonging to association rule learning). Data mining is developed on the basis of multidisciplinary development. With the development and application of database technology, the accumulation of data continues to expand, resulting in simple query and statistics can no longer meet the business needs of enterprises, and some revolutionary technologies are urgently needed to mine the information behind the data.

The complete steps of data mining are as follows:

(1) Understand the data and the source of the data (understand).

② Acquisition of relevant knowledge and technology.

③ Data integration and inspection.

④ Delete incorrect or inconsistent data (data cleaning).

⑤ Model building and hypothesis development.

⑥ Actual data mining.

⑦ Verify the mining results.

8 Interpretation and use.