Swarm Intelligence for Multi-objective Problems in Data Mining
The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swar...
保存先:
| その他の著者: | , , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2009. |
| シリーズ: | Studies in Computational Intelligence
242 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Swarm intelligence for multi-objective problems in data mining, Carlos Artemio Coello Coello, Satchidananda Dehuri and Susmita Ghosh (eds.), Berlin, Springer, 2009, 1 vol. (XIV-287 p.), Studies in computational intelligence / editor-in-chief, prof. Janusz Kacprzyk,..., 978-3-642-03624-8 • Swarm Intelligence for Multi-objective Problems in Data Mining, Texte imprimé, 9783642036781 • Swarm intelligence for multi-objective problems in data mining, Carlos Artemio Coello Coello, Satchidananda Dehuri and Susmita Ghosh (eds.), Berlin, Springer, 2009, 1 vol. (XIV-287 p.), Studies in computational intelligence / editor-in-chief, prof. Janusz Kacprzyk,..., 978-3-642-03624-8 • Swarm Intelligence for Multi-objective Problems in Data Mining, Texte imprimé, 9783642260537 |
目次:
- An Introduction to Swarm Intelligence for Multi-objective Problems Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers Multiobjective Particle Swarm Optimization in Classification-Rule Learning Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers Optimizing Decision Trees Using Multi-objective Particle Swarm Optimization A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective Rigorous Runtime Analysis of Swarm Intelligence Algorithms An Overview Mining Rules: A Parallel Multiobjective Particle Swarm Optimization Approach The Basic Principles of Metric Indexing Particle Evolutionary Swarm Multi-Objective Optimization for Vehicle Routing Problem with Time Windows Combining Correlated Data from Multiple Classifiers