| Lec # | Topic | Download PPT Slides | Download PDF Slides | 
| 1 | Class Outline / Chapter 1:   Introduction | ||
| 2 | Chapter 1: Introduction | ||
| 3 | Chapter 2: Data Processing | ||
| 4 | Chapter 2: Data Preprocessing | ||
| 5 | Chapter 3: Data Preprocessing | ||
| 6 | Chapter 3: Data Preprocessing | ||
| 7 | Chapter 4: Data Warehousing   & OLAP | ||
| 8 | Chapter 4: Data Warehousing   & OLAP | ||
| 9 | Chapter 5: Data Cube Technology | ||
| 10 | Chapter 5: Data Cube Technology | ||
| 11 | Chapter 5: Data Cube Technology | ||
| 12 | Chapter 6: Mining Frequent   Patterns, Association and Correlation | ||
| 13 | Chapter 6: Mining Frequent   Patterns, Association and Correlation | ||
| 14 | Chapter 6: Mining Frequent   Patterns, Association and Correlation | ||
| 15 | Chapter 6: Mining Frequent   Patterns, Association and Correlation | ||
| 16 | Chapter 7: Mining Frequent   Patterns, Association and Correlation | ||
| 17 | Midterm Exam | Midterm Exam | |
| 18 | Chapter 7: Mining Frequent   Patterns, Association and Correlation | ||
| 19 | Chapter 8: Classification &   Prediction | ||
| 20 | Chapter 8: Classification &   Prediction | ||
| 21 | Chapter 8: Classification &   Prediction | ||
| 22 | Chapter 9: Classification &   Prediction | ||
| 23 | Chapter 9: Classification &   Prediction | ||
| 24 | Chapter 9: Classification &   Prediction | ||
| 25 | Chapter 10: Cluster Analysis | Chapter 10. Cluster analysis:   Basic Concepts | |
| 26 | Chapter 10: Cluster Analysis | Chapter 10. Cluster analysis:   Basic Concepts  | |
| 27 | Chapter 11: Cluster Analysis | Chapter 11. Cluster analysis:   Advanced Methods  | |
| 28 | Chapter 11: Cluster Analysis | Chapter 11. Cluster analysis:   Advanced Methods   | |
| 29 | Chapter 11: Cluster Analysis | Chapter 11. Cluster analysis:   Advanced Methods  | 
Free download PPT,PDF,HTML, Video Lectures, Presentation, MCQs and seminars of Computer Science, Web Design & Development, Programming, Networking, Software Engineering, Databases,System Analysis and Design, Software Project Management,Operating system, Algorithm, Data Structure, Numerical Method,Computer Communication, Data Mining, Machine Learning, Graphic design, C & C++ and more Education etc.
Data Mining Lectures (Concept and Techniques)
Subscribe to:
Post Comments (Atom)
 
 
No comments:
Post a Comment