Swarm Intelligence for Multi-objective Problems in Data Mining

• Corporate Author: SpringerLink (Online service)
• Other Authors: Coello, Carlos Artemio Coello (Editor), Dehuri, Satchidananda (Editor), Ghosh, Susmita (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 242
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

Table of Contents:

• 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.