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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Coello Coello, Carlos (Editor ), Dehuri, Satchidananda (Editor ), Ghosh, Susmita (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 242
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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