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Database Management - Data Mining
 

Database Management - Data Mining

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Curriculum Design and Instruction To Teach

Database Management: Data Mining:

Author: Charles Hayes:







Special Features Include:

Phases For Conducting a Needs Assessment:
Curriculum Design Supplement:
|a|. Subject-Questions-Answers:
Curriculum Design Plan:
Curriculum Design Goals:
Curriculum Design Objectives:
Instructional Goals:
Instructional Objectives:
Instructional Activities:
Instructional Evaluation Techniques:
Lesson Plans:
Standard Vocabulary:
Learning Objectives:
A Limited Glimpse:


Topics Include:

* Introduction:

@ Data Mining:

1. Introduction:

2. How Data Mining Works:

3. The Form of Data Mining:

4. Data Mining Methods and Tools:

5. Modeling:

6. Market Basket Analysis (MBA):

7. Memory-Based Reasoning (MBR):

8. Decision Trees:

9. Artificial Neural Networks:

10. Genetic Algorithms (GAs):

11. Knowledge Discovery:

12. Other Considerations:

13. Applications:

14. Conclusion:

* STATE OF THE ART CURRICULUM:

* NEW:

* INCLUDES BIBLIOGRAPHICAL REFERENCES:

* COLOR & B & W PHOTOS:

* PAPERBACK:

* TITLE PAGE: WHITE:

* TRANSPARENT FRONT PAGE:

* BLACK OR WHITE BACK PAGE COVER:

* FONT ARIAL BLACK: FONT SIZE 8 TO 10:

* FONT COLOR: BLACK-RED-BLUE:

* BINDED: WIRE-0: COLOR: BLACK-

WHITE-RED-BLUE:

* 50 WHITE PAGES: 8x11"

* ALLOW 7 TO 14 DAYS TO RECEIVE ITEM:

* 2007 Charles Hayes:
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