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
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