Data mining a heuristic approach /
Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recen...
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| Other Authors: | , , |
| Format: | Electronic |
| Language: | English |
| Published: |
Hershey, Pa. :
IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
c2002.
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| Subjects: | |
| Online Access: | View fulltext via EzAccess |
Table of Contents:
- 1. From evolution to immune to swarm to? A simple introduction to modern heuristics / Jay Rodstein, Katherine Watters
- 2. Approximating proximity to fast and robust distance-based clustering / Vladimir Estivill-Castro, Michael Houle
- 3. On the use of evolutionary algorithms in data mining / Erick Cantu-Paz
- 4. The discovery of interesting nuggets using heuristic techniques / Beatriz de la Iglesia, Victor Rayward-Smith
- 5. Estimation of distribution algorithms for feature subset selection in large dimensionality domains / Inaki Inza, Pedro Larranaga, Basilio Sierra
- 6. Towards the cross-fertilization of multiple heuristics / Jorge Muruzabal
- 7. Evolution of spatial data templates for object classification / Neil Dunstan, Michael de Raadt
- 8. Genetic programming as a data-mining tool / Peter Smith
- 9. A building block approach to genetic programming for rule discovery / A. Engelbrecht, L. Schoeman, Sonja Rouwhorst
- 10. An ant colony algorithm for classification rule discovery / Rafael Parpinelli, Heitor Lopes, Alex Freitas
- 11. Artificial immune systems / Jonathan Timmis, Thomas Knight
- 12. aiNet / Leandro Nunes de Castro, Fernando Von Zuben
- 13. Parallel data mining / David Taniar, J. Rahayu.