Data Mining Concepts

levelsordData Management

Nov 20, 2013 (3 years and 10 months ago)

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Copyright © 2004 Pearson Education, Inc.

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 27
-
10

Summary