Article Source

• Title: Introduction to Data Mining (Second Edition)

Data Mining Lecture Slides

1. Introduction [PPT] [PDF] (last updated: 3 Feb, 2018).

2. Data [PPT] [PDF] (last updated: 3 Feb, 2018).

3. Classification: Basic Concepts and Techniques

   • Basic Concepts and Decision Trees [PPT] [PDF] (last updated: 3 Feb, 2018).

   • Model Overfitting [PPT] [PDF] (last updated: 3 Feb, 2018).

4. Classification: Alternative Techniques

   • Rule-based Classifier [PPT] [PDF] (last updated: 3 Feb, 2018).

   • Nearest Neighbor Classifiers [PPT] [PDF] (last updated: 3 Feb, 2018).

   • Naïve Bayes Classifier [PPT] [PDF] (last updated: 3 Feb, 2018).

   • Artificial Neural Networks [PPT] [PDF] (last updated: 3 Feb, 2018).

   • Support Vector Machine [PPT] [PDF] (last updated: 3 Feb, 2018).

   • Ensemble Methods [PPT] [PDF] (last updated: 3 Feb, 2018).

   • Class Imbalance Problem [PPT] [PDF] (last updated: 3 Feb, 2018).

5. Association Analysis: Basic Concepts and Algorithms [PPT] [PDF] (last updated: 3 Feb, 2018).

6. Association Analysis: Advanced Concepts [PPT] [PDF] (last updated: 3 Feb, 2018).

7. Cluster Analysis: Basic Concepts and Algorithms [PPT] [PDF] (last updated: 3 Feb, 2018).

8. Cluster Analysis: Additional Issues and Algorithms [PPT] [PDF] (last updated: 3 Feb, 2018).

9. Anomaly Detection [PPT] [PDF] (last updated: 3 Feb, 2018).

10. Avoiding False Discoveries [PPT] [PDF] (last updated: 3 Feb, 2018).