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...
| Other Authors: | Coello Coello, Carlos A., Dehuri, Satchidananda., Ghosh, Susmita., SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Heidelberg :
Springer-Verlag,
©2009.
Berlin ; Heidelberg : [2009] |
| Physical Description: |
1 online resource. |
| Series: |
Studies in computational intelligence ;
v. 242. |
| Subjects: |
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.