3.Data collection and planning

For the modeling phase, data mining experts translate the data into meaningful information. They use the ETL (Extract, Transform, and Load) method. They're also in charge of inventing new data attributes. Various methods are employed here to view data in a structural format while preserving the value of data sets.

4.Modeling

Data experts use their best tools for this phase because it is so important in the overall data processing. To filter the data in an acceptable way, all modeling methods are used. Modeling and assessment are intertwined steps that must be completed at the same time to ensure that the criteria are correct. After the final modeling is completed, the accuracy of the final result can be checked.

5.Assessment or Evaluation

After efficient modeling, this is the filtering method. If the result is not acceptable, it is then passed back to the model. After a satisfactory result, the requirement is double-checked with the provider to ensure that no details are overlooked. At the end of the process, data mining experts evaluate the entire outcome.

6.Deployment

This is the final stage in the entire process. Data is presented to vendors in the form of spreadsheets or graphs by experts.

The following functions can be performed with data mining services [9, 10]:

