Swarm Intelligence for Multi-objective Problems in Data Mining
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence,
242 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-642-03625-5 |
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.