Data mining is a process of extracting hidden, unknown but potentially useful information and knowledge from a large number of incomplete, noisy, fuzzy and random data.

Data mining process:

Define the problem: clearly define the business problem and determine the purpose of data mining.

Data preparation: data preparation includes: selecting data-extracting the target data set of data mining from large databases and data warehouse targets; Data preprocessing-data reprocessing, including checking data integrity and consistency, denoising, filling in missing fields, deleting invalid data, etc.

Data mining: according to the types of data functions and the characteristics of data, select the corresponding algorithm to mine the data set after purification and conversion.

Result analysis: Explain and evaluate the results of data mining, and turn them into knowledge that can be finally understood by users.