Data Mining
Data Mining is the process of discovering useful patterns,
relationships, and knowledge from large volumes of data.
It helps organizations make data-driven decisions.
1. What is Data Mining?
Data Mining extracts hidden and meaningful information from large datasets using statistical and machine learning techniques.
- Works on large datasets
- Finds patterns and trends
- Supports decision making
2. Data Mining vs Data Warehouse
Data Warehouse Data Mining --------------------------- ----------------------------- Stores historical data Extracts knowledge Used for reporting Used for prediction Data repository Analysis process
3. Data Mining Process
Data Collection
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Data Cleaning
↓
Data Integration
↓
Data Selection
↓
Data Mining
↓
Pattern Evaluation
↓
Knowledge Presentation
4. Types of Data Mining Tasks
- Classification
- Clustering
- Association Rule Mining
- Prediction
- Outlier Detection
5. Classification
Classification assigns data items to predefined categories.
Example: Student → Pass / Fail Email → Spam / Not Spam
6. Clustering
Clustering groups similar data items without predefined labels.
Example: Customers grouped by buying behavior
7. Association Rule Mining
Discovers relationships between items in large datasets.
Example: If a customer buys Bread → likely buys Butter
8. Prediction
Prediction estimates future outcomes based on historical data.
Example: Predict sales for next month Predict student performance
9. Applications of Data Mining
- Banking and fraud detection
- Market basket analysis
- Healthcare diagnosis
- E-commerce recommendations
- Education analytics
10. Advantages of Data Mining
- Improved decision making
- Identifies hidden patterns
- Predicts future trends
- Enhances business strategies
11. Limitations of Data Mining
- Privacy concerns
- High computational cost
- Requires skilled professionals
- Data quality dependency
Practice Questions
- What is data mining?
- Differentiate data mining and data warehouse.
- Explain data mining process.
- What are types of data mining tasks?
- List applications of data mining.
Practice Task
Explain with examples:
✔ Classification
✔ Clustering
✔ Association rule mining
✔ Prediction