| Description |
xxi, 530 pages : illustrations ; 24 cm |
| Series |
The Morgan Kaufmann series in data management systems |
|
Morgan Kaufmann series in data management systems.
|
| Contents |
Ch. 1. Foundations and ideas -- Ch. 2. Principal model types -- Ch. 3. Approaches to model building -- Ch. 4. Fundamental concepts of fuzzy logic -- Ch. 5. Fundamental concepts of fuzzy systems -- Ch. 6. Fuzzy SQL and intelligent queries -- Ch. 7. Fuzzy clustering -- Ch. 8. Fuzzy rule induction -- Ch. 9. Fundamental concepts of genetic algorithms -- Ch. 10. Genetic resource scheduling optimization -- Ch. 11. Genetic turning of fuzzy models |
| Summary |
"Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems."--BOOK JACKET |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Data mining.
|
|
Fuzzy logic.
|
|
Genetic algorithms.
|
| LC no. |
2004061901 |
| ISBN |
0121942759 acid-free |
|
