Data mining is a process, not a one-and-done activity. It includes steps for data collection, data preparation, data visualization, and data extraction.
These steps are usually performed by a data scientist, who works through data sets to identify and describe patterns and correlations. They also help to classify data and identify outliers for specific use cases, such as fraud detection.
Here’s a simplified look at the steps involved in data mining:
Set Your Data Objectives
Prepare Your Data for Data Mining
Build Data Models
Evaluate the Results