1. Copyright © 2004 Pearson Education, Inc.

2. Chapter 27 Data Mining Concepts

3. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Pearson Education, Inc. Slide 27-3 Overview of Data Mining Technology

4. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Pearson Education, Inc. Slide 27-4 Association Rules Market-Basket Model, Support, and Confidence Apriori Algorithm Sampling Algorithm Frequent-Pattern Tree Algorithm Partition Algorithm Other Types of Association Rules Additional Considerations for Association Rules

5. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Pearson Education, Inc. Slide 27-5 Classification

6. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Pearson Education, Inc. Slide 27-6 Clustering

7. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Pearson Education, Inc. Slide 27-7 Approaches to Other Data Mining Problems Discovery of Sequential Patterns Discovery of Patterns in Time Series Regression Neural Networks Genetic Algorithm

8. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Pearson Education, Inc. Slide 27-8 Applications of Data Mining

9. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Pearson Education, Inc. Slide 27-9 Commercial Data Mining Tools

10. Elmasri and Navathe, Fundamentals of Database Systems, Fourth Edition Copyright © 2004 Pearson Education, Inc. Slide 27-10 Summary