Introduction To Data Mining 99%

The most widely used framework for data mining is the (Cross-Industry Standard Process for Data Mining) model. It consists of six iterative phases:

Data mining is the process of extracting hidden patterns, correlations, and actionable insights from large datasets. It combines techniques from statistics, machine learning, and database systems to turn raw information into useful knowledge. 1. The Data Mining Process (CRISP-DM) Introduction to Data Mining