Introdution of Data Mining - 2nd

PowerPoint Slides:

• Introduction
  
• Data
  
• Classification: Basic Concepts and Techniques
  
  
  • Basic Concepts and Decision Trees
    
  • 
    Model Overfitting
    
    
    
• Classification: Alternative Techniques
  
  
  • Rule-based Classifier
    
  • Nearest Neighbor Classifiers
    
  • Naïve Bayes Classifier
    
  • Artificial Neural Networks
    
  • Support Vector Machine
    
  • Ensemble Methods
    
  • Class Imbalance Problem
    
    
    
• Association Analysis: Basic Concepts and Algorithms
  
• Association Analysis: Advanced Concepts
  
• Cluster Analysis: Basic Concepts and Algorithms
  
• Cluster Analysis: Additional Issues and Algorithms
  
• Anomaly Detection
  
• Avoiding False Discoveries