CRISP-DM (cross-industry standard process for data mining) is the "cross-industry standard process for data mining".
The stages experienced are as follows:
1: business understanding: that is, business understanding. In the first stage, we must understand the requirements and ultimate goals of the project from a business perspective. And combine these goals with the definition and results of data mining.
2. data understanding: The understanding and collection of data, and the evaluation of available data.
3: data preparation: data preparation, a series of organization and cleaning of the available raw data to make it meet the modeling requirements.
4:modeling: that is, the application of data mining tools to build models.
5:evaluation: Evaluate the established model, focusing on specific consideration whether the results are in line with the business purpose of the first step.
6: deployment: deployment, that is to organize its findings and processes into readable text form. (Data Mining Report)