Copyright © 2004 Pearson Education, Inc.

Chapter 27 Data Mining Concepts

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

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

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

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

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

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

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

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