Data Mining Lectures (Concept and Techniques)

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 

No comments:

free counters