Data Mining Lectures (Concept and Techniques)

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Class Outline / Chapter 1: Introduction
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Chapter 1: Introduction
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Chapter 2: Data Processing
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Chapter 2: Data Preprocessing
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Chapter 3: Data Preprocessing
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Chapter 3: Data Preprocessing
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Chapter 4: Data Warehousing & OLAP
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Chapter 4: Data Warehousing & OLAP
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Chapter 5: Data Cube Technology
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Chapter 5: Data Cube Technology
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Chapter 5: Data Cube Technology
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Chapter 6: Mining Frequent Patterns, Association and Correlation
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Chapter 6: Mining Frequent Patterns, Association and Correlation
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Chapter 6: Mining Frequent Patterns, Association and Correlation
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Chapter 6: Mining Frequent Patterns, Association and Correlation
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Chapter 7: Mining Frequent Patterns, Association and Correlation
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Midterm Exam
Midterm Exam
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Chapter 7: Mining Frequent Patterns, Association and Correlation
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Chapter 8: Classification & Prediction
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Chapter 8: Classification & Prediction
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Chapter 8: Classification & Prediction
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Chapter 9: Classification & Prediction
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Chapter 9: Classification & Prediction
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Chapter 9: Classification & Prediction
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Chapter 10: Cluster Analysis
Chapter 10. Cluster analysis: Basic Concepts
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Chapter 10: Cluster Analysis
Chapter 10. Cluster analysis: Basic Concepts 
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Chapter 11: Cluster Analysis
Chapter 11. Cluster analysis: Advanced Methods 
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Chapter 11: Cluster Analysis
Chapter 11. Cluster analysis: Advanced Methods  
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Chapter 11: Cluster Analysis
Chapter 11. Cluster analysis: Advanced Methods 

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