Data mining is the exploration and analysis of large data to discover meaningful patterns and rules. It’s considered a discipline under the data science field of study and differs from predictive analytics because it describes historical data, while data mining aims to predict future outcomes. Additionally, data mining techniques are used to build machine learning (ML) models that power modern artificial intelligence (AI) applications such as search engine algorithms and recommendation systems. The accepted data mining process involves six steps as given below:

1. Business understanding
2. Data understanding
3. Data preparation
4. Data Modeling
5. Evaluation
6. Deployment