Review:
Data Mining Techniques
overall review score: 4.5
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score is between 0 and 5
Data mining techniques refer to a set of methods and algorithms used to extract valuable insights and patterns from large datasets.
Key Features
- Clustering
- Classification
- Association rules
- Regression analysis
- Outlier detection
Pros
- Can reveal hidden patterns and trends in data
- Helps in making better business decisions
- Improves efficiency in data analysis
Cons
- Requires expertise to properly implement and interpret results
- Potential privacy concerns with sensitive data