19. Data mining methods
Data mining on PCs with big data means using powerful computers to find hidden patterns in large datasets. Common methods include:
1. Association rule mining: Identifying connections between changes, often used in market analysis.
2. Grouping analysis: Grouping the same data points to discover important structures.
3. Classification analysis: Organising data into groups based on features, like feelings analysis or image identification.
4. Predicting analysis: Predicting number values, useful for forecasting.
5. Text mining: Obtaining insights from text data.
6. Diagram mining: Analysing patterns in connected data, such as social networks.
7. Deep knowledge: Using nervous networks with multiple levels for tasks like image and talk identification.
These methods depend on PCs with enough processing power and memory. Software tools like TensorFlow help implement them efficiently.
