When you can figure it out, first explain it intuitively.
1. Data cleaning: remove noise and remove inconsistent data.
2. Data Integration: Combining multiple types of data sources together.
3. Data selection: Extract the data relevant to the analysis task from the database.
4. Data transformation: Through summarization and aggregation operations, the data is transformed and unified into a process suitable for mining.
5. Data Mining: Extract data using intelligent methods.
6. Pattern Evaluation: Identify patterns with patterns based on interest metrics.
7. Knowledge Representation: Visualization and knowledge representation technology provide the mined data to users.