Skills Developed
- Data mining concepts and techniques
- Data preprocessing and attribute analysis
- Frequent pattern mining
- Classification algorithms
- Clustering methods
- Data mining project design and evaluation
Course Contents
- Basic Data Mining Concepts:
- Fundamental principles of data mining
- Knowledge discovery process
- Data Preprocessing:
- Attribute types and analysis
- Data cleaning and transformation techniques
- Frequent Pattern Mining:
- Algorithms for discovering frequent itemsets
- Association rule mining
- Classification:
- Various classification algorithms
- Model evaluation and selection
- Clustering:
- Clustering algorithms and techniques
- Cluster analysis and interpretation
- Practical Application:
- Design and implementation of data mining projects
- Evaluation of data mining methods for specific applications